JP2010250775A - Crime prevention device and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a crime prevention device and program capable of more effectively preventing a crime. <P>SOLUTION: The crime prevention device is configured to detect the location of a person who is present in a monitoring area 60 at predetermined time intervals on the basis of image information obtained by a camera 40 which captures the image information of the monitoring area 60 in real time by imaging the monitoring area 60, to specify whether or not the detected person is an unidentified person other than a predetermined guard and guarded person by using an IC tag 90 and an antenna, to estimate characteristic information showing personal characteristics including at least the age of the person specified as the unidentified person on the basis of the image information, to derive the rate of a criminal probability that the unidentified person commits a crime in lifetime after the age included in the characteristic information on the basis of the characteristic information, to calculate a crime risk value showing the degree of a crime risk by the unidentified person to the guarded person on the basis of the derived criminal execution rate, and to execute predetermined processing for preventing a crime by using the calculated crime risk value. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a crime prevention apparatus and program, and more particularly, to a crime prevention apparatus and program for preventing a crime by an unspecified person in a predetermined area.

  As a technique that can be applied to prevent the occurrence of crimes against a predetermined person in an area where an unspecified person enters or exits such as an open space or a park, Patent Document 1 discloses a danger warning system adapted to an individual. For the purpose of providing a storage area for storing a predetermined individual danger area, a person position detecting means for detecting the position of a person, a personal identification means for identifying the predetermined person, and a warning A specific person identified by the reporting means, the personal identification means and a person whose position is detected by the person position detecting means, and the identified predetermined person stored in the storage means is identified. In addition, there is disclosed a technology having control means for issuing an alarm by means of the reporting means when entering a dangerous area corresponding to a predetermined individual.

  By applying this technology as a dangerous area where a crime is likely to occur in the above-mentioned area where an unspecified person enters and exits, it is possible to prevent a crime from occurring for a predetermined person.

  Patent Document 2 discloses a device that allows a person to enjoy a crime prevention service without carrying or operating a reporting device, allowing a monitor to monitor a wide surveillance area with little effort, and contributing to the police's initial investigation. For detecting a physical signal emitted from within the monitoring area and its transmission position, an image capturing section for capturing images in the monitoring area in time series, and the image capturing section When the physical signal detected by the detection unit satisfies a predetermined setting condition, the transmission position (target) of the physical signal is stored. A detection result analysis unit that extracts a point) and a detection time, an image extraction unit that extracts image information captured by the image capturing unit within an extraction period from the image storage unit, and the image extracted by the image extraction unit. Analyzing the information, technology with a suspected object image extraction unit that extracts an image of an object close to the target point is disclosed.

JP 2004-234061 A JP 2005-346545 A

  By the way, in areas where unspecified people come and go, such as open spaces and parks, people who want to protect against crime (hereinafter referred to as “defenders”) (hereinafter referred to as “defense”) Are often present in the vicinity of defenders. For example, when the guardian is a child, the guardian is a guardian or a school teacher. When the guardian is an adult, the guardian is a guard or a manager of the above area.

  Here, out of the persons in the area where the unspecified person enters and exits, the person excluding the defender and the defender (hereinafter referred to as “indefinite person”) does not necessarily commit a crime against the defender. Rather, people who commit crimes are extremely rare.

  Therefore, it is very important to consider the probability that the unspecified person will commit a crime against the defender in order to construct an effective crime prevention system.

  However, the techniques disclosed in Patent Document 1 and Patent Document 2 do not take into account whether or not the indefinite person commits a crime, and whether or not the indefinite person exists. However, there was a problem that it was not always possible to effectively prevent crime.

  The present invention has been made to solve the above-described problems, and an object thereof is to provide a crime prevention apparatus and program capable of preventing crime more effectively.

  First, the principle of the present invention will be described.

  Figures 16 to 20 show the types of crimes committed against people in Japan from 2000 to 2006 published by the National Police Agency, and act together with the criminal's age, gender, etc. It is the number of crimes per year for each number of people. 16 relates to “assault”, FIG. 17 relates to “injury”, FIG. 18 relates to “forced obscenity”, FIG. 19 relates to “public obscenity”, and FIG. 20 relates to “almost kidnapping”.

  As shown in the figure, crimes committed against people are highly dependent on age. For example, “forced obscenity”, “public obscenity”, and “substantial kidnapping” tend to decrease gradually as the age rises, peaking in the 20s and 30s. A large percentage is shown.

  As described above, the probability that an undetermined person will execute a crime against a person greatly depends on the age of the person. However, as is clear from FIGS. It can exist over the period of survival, and the probability within this period needs to be considered.

  Based on the above principle, in order to achieve the above object, the crime prevention apparatus according to claim 1 includes an imaging unit that captures image information of the target area in real time by imaging the target area, and an imaging unit. Based on the acquired image information, detection means for detecting the position of a person existing in the target area at predetermined time intervals, and a person detected by the detection means excluding a predetermined defender and defender Identifying means for identifying whether or not the person is uncertain, and estimating means for estimating characteristic information indicating personal characteristics including at least the age of the person identified as undefined by the identifying means based on the image information; Based on the characteristic information estimated by the estimating means, a crime execution rate, which is a probability that the unidentified person will execute a crime within the lifetime after the age included in the characteristic information, is derived. Calculating means for calculating a crime risk value indicating the level of crime risk by the indefinite person for the defender based on the crime execution rate derived by the derivation means, and calculating by the calculation means And a process execution means for executing a predetermined process for preventing crimes using the crime risk value determined.

  According to the crime prevention apparatus according to claim 1, image information of the target area is acquired in real time (real time) by shooting the target area by the shooting unit, and acquired by the shooting unit by the detection unit. Based on the image information, the position of a person existing in the target area is detected at predetermined time intervals. As described above, the image capturing unit acquires image information in real time. For the acquisition, in addition to continuous acquisition by moving image capturing, the detection unit detects the position of the person. Intermittent acquisition at the timing corresponding to. The photographing means includes various cameras such as a monochrome camera, a color camera, and an infrared camera capable of photographing at least one of a moving image and a still image.

  Here, in the present invention, it is specified by the specifying means whether or not the person detected by the detecting means is a predetermined defender and an indefinite person excluding the defender, and the estimating means specifies the specifying means. Characteristic information indicating personal characteristics including at least the age of a person identified as an indeterminate person is estimated based on the image information, and the indeterminate means based on the characteristic information estimated by the estimating means. A crime execution rate, which is a probability that a person will execute a crime within the life period after the age included in the characteristic information, is derived, and further, based on the crime execution rate derived by the deriving unit by the computing unit, A crime risk value indicating the level of crime risk caused by the indefinite person with respect to the defender is calculated.

  In the present invention, the process execution means executes a process predetermined to prevent crime using the crime risk value calculated by the calculation means.

  Thus, according to the crime prevention apparatus according to claim 1, the target area is captured based on the image information acquired by the imaging unit that acquires the image information of the target area in real time by capturing the target area. Detects the position of the person present at predetermined time intervals, identifies whether the detected person is a predetermined defender and an indefinite person excluding the defender, and at least the age of the person identified as the indefinite person The probability that personal information including personal characteristics is estimated based on the image information, and based on the estimated characteristic information, the probability that the indefinite person will execute a crime within the lifetime after the age included in the characteristic information A crime execution rate is derived, and based on the derived crime execution rate, a crime risk value indicating the level of crime risk by the indefinite person for the defender is calculated, and the calculated crime risk value is used. Since a predetermined process is executed to prevent a crime, a predetermined process may be executed to prevent a crime based on a crime execution rate by an indefinite person derived with high accuracy. As a result, crime can be more effectively prevented as compared with the case where the present invention is not applied.

  By the way, as shown in FIGS. 16 to 20, crimes committed against people greatly depend on gender. For example, for each crime type, the number of men is overwhelmingly higher than that of women, and the ratio differs for each crime type.

  Therefore, the probability that an indefinite person will commit a crime against a person greatly depends on gender in addition to age.

  Therefore, according to the present invention, as in the invention described in claim 2, the characteristic information may include the gender of the person who is identified as the indeterminate person by the specifying means. Thereby, crime can be more effectively prevented.

  By the way, when a defender exists in the vicinity of the defender, it is very important to effectively use the defender to protect the defender in order to construct an efficient crime prevention system.

  On the other hand, in the techniques disclosed in Patent Document 1 and Patent Document 2, no consideration is given to the defender, and it is not always possible to efficiently prevent crime.

  Therefore, according to the present invention, as in the invention described in claim 3, the specifying means determines whether the person detected by the detection means is the defender, the defender, or the indefinite person. A first distance that is a distance between the defender and the defender, and the indefinite person and the defender based on the position of the person detected by the detection means and the identification result by the identification means A distance deriving unit for deriving a second distance that is a distance of the first distance, and the computing unit is derived by the ratio of the first distance to the second distance derived by the distance deriving unit and the deriving unit. The crime risk value may be calculated based on the crime execution rate. Thereby, as a result of being able to use the defender effectively, crime can be prevented more efficiently than in the case where the present invention is not applied.

  The invention according to claim 3 is derived by the distance deriving means at a time point before the first distance derived by the distance deriving means at the present time and the predetermined time, as in the invention according to claim 4. The distance between the defender and the defender after the predetermined time is predicted based on the amount of change from the first distance, and the second distance derived by the distance deriving means at the present time and the predetermined distance Further comprising distance predicting means for predicting the distance between the indefinite person and the defender after the predetermined time based on the amount of change from the second distance derived by the distance deriving means at a time point before time; The calculating means calculates the ratio of the distance between the defender and the defender predicted by the distance predicting means, the distance between the indeterminate person and the defender, and the crime execution rate derived by the deriving means. Based on before It may be calculated crime risk value. Thereby, as a result of being able to predict the crime risk value after the predetermined time, crime can be prevented more immediately compared to the case where the present invention is not applied.

  Further, according to a third aspect of the present invention, as in the fifth aspect of the present invention, the first arrival time which is the time for the defender to reach the defender based on the first distance is set. And an arrival time deriving unit for deriving a second arrival time which is a time for the indeterminate person to reach the defender based on the second distance, and the calculation unit includes the arrival time. The crime risk value may be calculated based on the ratio between the first arrival time and the second arrival time derived by the deriving unit and the crime execution rate derived by the deriving unit. Thereby, compared with the case where this invention is not applied, a crime can be prevented more accurately.

  In particular, the invention according to claim 5 further comprises second estimation means for estimating at least one of the age, sex, and height of the person detected by the detection means based on the image information, and the arrival time. The derivation unit may adjust the first arrival time and the second arrival time according to at least one of age, sex, and height estimated by the second estimation unit. Thereby, compared with the case where this invention is not applied, a crime can be prevented more accurately.

  Further, according to a fifth aspect of the invention, as in the sixth aspect of the invention, the arrival time derivation is performed at a time point before the first arrival time and the predetermined time derived by the arrival time deriving means at the present time. Based on the amount of change from the first arrival time derived by the means, the time when the defender reaches the defender after the predetermined time is predicted, and at the present time, the arrival time deriving means The indefinite person after the predetermined time reaches the defender based on the amount of change between the second arrival time and the second arrival time derived by the arrival time deriving means at a time point before the predetermined time. It further comprises arrival time predicting means for predicting time, and the computing means predicts the time when the defender arrives at the defender predicted by the arrival time predicting means, and the indefinite person reaches the defender. You Time ratio, and may be calculated the crime risk value based on the derived crime execution rate by the deriving means. Thereby, as a result of being able to predict the crime risk value after the predetermined time, crime can be prevented more immediately compared to the case where the present invention is not applied.

  Further, in the invention according to any one of claims 3 to 6, as in the invention according to claim 7, the traveling direction for deriving the traveling direction of the defender and the traveling direction of the indefinite person. Derivation means is further provided, and the calculation means calculates the crime risk value so that the value increases as the traveling direction of the indeterminate is closer to the traveling direction of the defender derived by the traveling direction derivation means. May be. Thereby, compared with the case where this invention is not applied, a crime can be prevented more accurately.

  Further, in the invention according to any one of claims 3 to 7, as in the invention according to claim 8, region information indicating a region of an obstacle that hinders human walking in the target region. If the area of the obstacle indicated by the area information exists between the defender and the defender, the distance deriving means further stores area information storage means for storing the obstacle information. The first distance is derived as a detour, and if the area of the obstacle exists between the indefinite person and the defender, the first distance is deduced as a detour of the obstacle area. A distance of 2 may be derived. Thereby, compared with the case where this invention is not applied, a crime can be prevented more accurately. The area information storage means includes a RAM (Random Access Memory), an EEPROM (Electrically Erasable and Programmable Read Only Memory), a semiconductor storage element such as a flash EEPROM (Flash EEPROM), a portable recording medium such as a flexible disk, An external storage device provided in a fixed recording medium such as a hard disk or a server computer connected to a network is included.

  By the way, as shown in FIGS. 16 to 20, crimes committed against a person greatly depend on the number of people acting together. That is, for each crime type, the number of persons acting alone is overwhelmingly larger than that of persons acting as multiple persons, and the ratio differs for each crime type.

  Therefore, the probability that an indefinite person commits a crime against a person depends greatly on the number of people acting together in addition to the age.

  Therefore, as in the invention described in claim 9, the present invention provides a number estimation means for estimating the number of persons acting together with the person identified as an indeterminate person by the identification means based on the image information; Correction coefficient deriving means for deriving a correction coefficient for correcting the crime risk value based on the number of persons acting together estimated by the number of persons estimating means, further comprising: The crime risk value may be calculated as a value corrected by the correction coefficient. Thereby, crime can be more effectively prevented.

  Further, as in the invention described in claim 10, the present invention relates to guarder identification information which is information for identifying the defender given in advance to the defender, and to the defender. Identification information storage means for preliminarily storing defender identification information, which is information for identifying the defender given in advance, and the defensive person identification information and the defensive information from the person detected by the detection means Acquisition means for acquiring any identification information of the person identification information, wherein the identification means is the defender identification information in which the identification information acquired by the acquisition means is stored in the identification information storage means If they match, the person who acquired the identification information is identified as the defender, and the identification information acquired by the acquisition means is stored in the identification information storage means. The acquisition source of human identification information identifies assumed as an object to be defensive person may be identified as another person is indeterminate user when matching the information. Thereby, compared with the case where this invention is not applied, a defender, a defender, and an indefinite person can be specified more reliably, and as a result, crime can be prevented with higher accuracy. The identification information storage means includes the semiconductor storage element, the portable recording medium, the fixed recording medium, and the external storage device.

  Further, according to the present invention, as in the invention described in claim 11, the processing execution means stores, as the predetermined processing, at least one of the crime risk value and the crime execution rate, the crime A process that displays at least one of a risk value and the crime execution rate, a process that issues a warning when at least one of the crime risk value and the crime execution rate is equal to or greater than a predetermined threshold, and closest to the target defender A process for notifying the defender that the crime risk is high, and there is an indeterminate person with a high crime execution rate close to the defender closest to the indefinite person whose crime execution rate is equal to or greater than the predetermined threshold You may perform at least 1 process of the process which alert | reports doing. Thereby, the effect according to the applied process can be acquired.

  The display of at least one of the crime risk value and the crime execution rate includes a permanent display by an image forming apparatus or the like, and an audible display by a sound generation apparatus or the like, in addition to a visual display by a display device or the like.

  Further, in the present invention, the detection means detects the position of the defender and the defender existing in the target area at the predetermined time interval using an IC tag or GPS (Global Positioning Systems). It is good. Thereby, compared with the case where this invention is not applied, this invention can be implement | achieved more easily and a crime can be prevented more precisely. Note that the IC tag is sometimes referred to as an RFID tag, a wireless tag, an ID tag, an electromagnetic induction tag, or the like. In this specification, these are collectively referred to as an IC tag.

  Further, as in the invention described in claim 12, the present invention is derived according to a predetermined age based on a ratio of crimes actually committed by a person corresponding to the characteristic information estimated by the estimating means. The crime execution rate by age is stored in advance in association with the corresponding characteristic information, and the derivation means includes the age of the indeterminate person estimated by the estimation unit. The crime execution rate classified by age may be read from the crime execution rate storage means classified by age, and the crime execution rate may be derived based on the read crime execution rate classified by age. Thereby, compared with the case where this invention is not applied, the crime execution rate can be derived more easily and in a short time. The age-specific crime execution rate storage means includes the semiconductor storage element, the portable recording medium, the fixed recording medium, and the external storage device.

  In the present invention, the crime execution rate according to age may be derived in advance based on a Bayesian theory from a statistical value of past crime occurrences. Thereby, compared with the case where this invention is not applied, the crime execution rate can be derived more easily and with high accuracy. In addition, as a statistical value of the past crime occurrence number of this invention, the value shown by FIGS. 16-20 can be illustrated. Here, when there are values of a plurality of years as shown in FIGS. 16 to 20 as the statistical value, a form in which the value of the year closest to the current time is applied, and a value of the year with the highest number of crimes is applied. The form which applies, the form which applies the average value of several years, etc. are applicable.

  The Bayesian theory is a probability theory theorem published in 1863, where P (B) is the probability of occurrence of event B (prior probability) and P (B | A) is occurrence of event A. When the probability of occurrence of event B after the occurrence (posterior probability) is assumed, if P (A)> 0, the following equation (1) is established.

When the crime execution rate according to age is derived using the equation (1), P (A) is the probability of a person who meets the condition of the characteristic information to be estimated according to the present invention, and P (B) is actually a crime. And P (A | B) is calculated by substituting each into equation (1) as the probability of a criminal who meets the condition of the characteristic information to be estimated by the present invention.

  Note that P (A) may be derived from the ratio of the number of people who meet the above condition to the total number of people who existed within a predetermined period in a predetermined region by observation, past statistical values, or the like. Here, as the predetermined region, any region can be applied, but it is preferable to apply a region having an environment similar to the target region of the present invention, and it is more preferable to apply the target region of the present invention. . In addition, the predetermined period includes each time zone such as morning, noon, evening, and night, and each divided time zone obtained by dividing the day by a predetermined time interval such as 3 hours or 6 hours. It is preferable to apply the same time zone as the time zone in which the crime risk value is calculated by the calculation means.

  In addition, P (B) is a target for the total number of people (the population of Japan when the statistical values shown in FIGS. 16 to 20 are applied) existing in the area targeted for the statistical value. What is necessary is just to derive | lead-out the ratio of the crime occurrence number from the said statistics value.

  In practice, it is derived based on statistical values for each region, or the number of persons and crime occurrences in the predetermined area are measured by day of the week or by the time zone, and are present in the predetermined area. It is preferable to derive the ratio of the number of crimes to be targeted with respect to the total number of people by day of the week, time zone, or the like.

  Furthermore, P (A | B) may be derived from the statistical value, as a ratio of the number of people who satisfy the above condition to the total number of people who have executed the targeted crime.

  Since Bayesian theory is conventionally known, further detailed explanation is omitted.

  By the way, the tendency of crime to occur varies greatly depending on the crime type. For example, “injury” (see FIG. 17) tends to decrease in number as the age rises with a peak at less than 20 years old, whereas “publicly obscene” (see FIG. 19) has a significant number of cases under 20 years old. Low.

  Therefore, in the present invention, the deriving means may derive the crime execution rate for each crime type. Thereby, crime can be prevented for each crime type.

  On the other hand, in order to achieve the above object, a program according to claim 13 is based on image information acquired by an imaging means for acquiring image information of a target area in real time by imaging the target area. Detecting means for detecting a position of a person existing in the target area at predetermined time intervals, and whether or not the person detected by the detecting means is a predetermined defender and an indefinite person excluding the defender. A specifying means for specifying, an estimating means for estimating characteristic information indicating personal characteristics including at least the age of a person identified as an indeterminate person by the specifying means based on the image information, and estimated by the estimating means Deriving means for deriving a crime execution rate, which is a probability that the indefinite person will execute a crime within the lifetime after the age included in the characteristic information, based on characteristic information Computing means for calculating a crime risk value indicating the level of crime risk caused by the indeterminate person against the defender based on the crime execution rate derived by the deriving means; and the crime risk computed by the computing means It is for functioning as a process execution means for executing a process predetermined to prevent crime by using the value.

  Therefore, according to the program of the thirteenth aspect, the computer can be caused to act in the same manner as the first aspect of the invention, so that, similarly to the first aspect of the invention, the present invention is not applied. In comparison, crime can be more effectively prevented.

  According to the present invention, based on the image information acquired by the imaging unit that acquires the image information of the target area in real time by capturing the target area, the position of the person existing in the target area is determined at predetermined time intervals. Detecting and specifying whether or not the detected person is an indeterminate person excluding a predetermined defender and defender, and characteristic information indicating personal characteristics including at least the age of the person identified as the indefinite person Is derived based on the image information, and based on the estimated characteristic information, a crime execution rate, which is a probability that the undefined person will execute a crime within the life after the age included in the characteristic information, is derived and derived. Based on the crime execution rate, the crime risk value indicating the crime risk level by the indeterminate against the defender is calculated, and the calculated crime risk value is used to prevent crime. The present invention is not applied as a result of being able to execute a predetermined process for preventing a crime based on the crime execution rate by an indefinite person derived with high accuracy. Compared to the case, the effect that crime can be prevented more effectively is obtained.

It is a mimetic diagram showing the whole crime prevention system composition concerning an embodiment. It is a schematic diagram which shows the arrangement | positioning relationship etc. of each part which comprises the crime prevention system which concerns on embodiment. It is a block diagram which shows the principal part structure of the electric system of the crime prevention apparatus which concerns on embodiment. It is a schematic diagram which shows the main memory content of the secondary memory | storage part with which the crime prevention apparatus which concerns on embodiment was equipped. It is a schematic diagram which shows the structure of the identification information database which concerns on embodiment. It is a schematic diagram which shows the structure of the attribute information database which concerns on embodiment. It is a schematic diagram which shows the structure of the obstruction information database which concerns on embodiment. It is a schematic diagram which shows the structure of the positional infomation database which concerns on embodiment. It is a schematic diagram which shows the structure of the crime execution rate database classified by age which concerns on embodiment. It is a schematic diagram which shows the structure of the correction coefficient database which concerns on embodiment. It is a schematic diagram which shows the structure of the crime risk value database which concerns on embodiment. It is a flowchart which shows the flow of a process of the crime prevention program which concerns on 1st Embodiment. It is a schematic diagram with which it uses for description of the process by the crime prevention program which concerns on 1st Embodiment. It is a flowchart which shows the flow of a process of the crime prevention program which concerns on 2nd Embodiment. It is a schematic diagram with which it uses for description of the process by the crime prevention program which concerns on 2nd Embodiment. It is a graph which shows the number of crime occurrences of domestic assault published by the National Police Agency. It is a graph which shows the crime occurrence number of the injury in Japan which the National Police Agency announced. It is a graph showing the number of compulsory obscene crimes in Japan that the National Police Agency announced. It is a graph showing the number of public obscene crimes published in Japan by the National Police Agency. It is a graph which shows the number of crime occurrences of domestic kidnapping published by the National Police Agency.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. Here, the case where the present invention is applied to a crime prevention system for monitoring a park in order to prevent the occurrence of a crime in the park will be described.

[First Embodiment]
First, an overall configuration of a crime prevention system 10 to which the present invention is applied will be described with reference to FIG.

  As shown in the figure, the crime prevention system 10 according to the present embodiment includes a crime prevention device 20 that plays a central role in the system 10, and a plurality of individuals possessed by a predetermined defender and defender. IC tag 90, a plurality of antennas 30 for acquiring information transmitted from each IC tag 90, and a region to be monitored in the system 10 (here, a park, hereinafter referred to as “monitoring target region”) .) And a plurality of cameras 40 for photographing the inside, and the antenna 30 and the camera 40 are electrically connected to the crime prevention apparatus 20.

  In the crime prevention system 10 according to the present embodiment, an active IC tag is applied as the IC tag 90, and the IC tag 90 is located at a relatively long distance (here, 20 m) by the antenna 30. The information transmitted from can be received.

  Here, in crime prevention system 10 according to the present embodiment, as shown in FIG. 2, the entire area 60 to be monitored is divided into rectangular areas having predetermined dimensions (here, 10 m in both vertical and horizontal directions). The antenna 30 is provided at each of the positions where the boundary lines of the divided areas intersect.

  The crime prevention apparatus 20 identifies the three antennas 30 receiving the same information from the IC tag 90, and uses triangulation technology based on the reception strength of the radio waves received by the identified antennas 30. The position of the source IC tag 90, that is, the position of the person carrying the IC tag 90 can be specified.

  On the other hand, in the crime prevention system 10 according to the present embodiment, as shown in FIG. 2, the cameras 40 are located at a plurality of positions (four locations in the present embodiment) around the monitoring target area 60. The target region 60 is provided at a position and a state where the target region 60 can be photographed. In addition, since the camera 40 is for monitoring the monitoring target area 60, it is preferable that the camera 40 is provided in a state where no blind spots are generated in the entire monitoring target area 60. The shape of the monitoring target area, The number of installations and installation positions are determined according to the state of obstacles, usage, etc. Further, in the crime prevention system 10 according to the present embodiment, a digital camera capable of shooting a moving image in color is applied as the camera 40, and the image of the monitoring target region 60 is captured by the camera 40. The image information shown can be acquired.

  Next, with reference to FIG. 3, the structure of the main part of the electrical system of the crime prevention apparatus 20 having a particularly important role in the crime prevention system 10 will be described.

  As shown in the figure, the crime prevention apparatus 20 according to the present embodiment includes a CPU (central processing unit) 20A that controls the operation of the crime prevention apparatus 20 as a whole and a work area when the CPU 20A executes various processing programs. A RAM 20B used, a ROM 20C in which various control programs, various parameters, and the like are stored in advance, a secondary storage unit (here, a hard disk device) 20D as a storage means used for storing various information, and various information A keyboard 20E used for inputting, a display 20F used for displaying various kinds of information, and an external I / F (interface) 20G for exchanging various signals between external devices and the like are provided. These units are electrically connected to each other by a system bus BUS.

  Accordingly, the CPU 20A accesses the RAM 20B, ROM 20C, and secondary storage unit 20D, acquires various input information via the keyboard 20E, displays various information on the display 20F, and external devices via the external I / F 20G. Various signals can be exchanged between them. The antenna 30 and the camera 40 described above are electrically connected to the crime prevention apparatus 20 via the external I / F 20G.

  On the other hand, FIG. 4 schematically shows the main storage contents of the secondary storage unit 20D provided in the crime prevention apparatus 20.

  As shown in the figure, the secondary storage unit 20D stores a database area DB for storing various databases, a control program for controlling the crime prevention apparatus 20, a program for performing various processes, and the like. A program area PG is provided.

  The database area DB includes an identification information database DB1, an attribute information database DB2, an obstacle information database DB3, a position information database DB4, a criminal execution rate database DB5 by age, a correction coefficient database DB6, and a crime risk value database DB7. It is. Hereinafter, the configuration of each database will be described in detail.

  In crime prevention system 10 according to the present embodiment, IC tag 90 is distributed to each of a predetermined defender and defender. At this time, the IC tags 90 to be distributed are each configured to transmit unique identification information so that a person to whom the distribution is made can be specified individually.

  The identification information database DB1 is mainly for storing this identification information. As shown in FIG. 5 as an example, the identification information and the types of information that are targeted by the crime prevention apparatus 20 include It is configured to be stored for each defender.

  The type is information indicating whether the person who has the IC tag 90 that transmits the corresponding identification information is a defender or a defender. In the example shown in FIG. 5, for example, the person holding the IC tag 90 that transmits identification information “10001” is “defender”, and the IC tag that transmits identification information “20003”. The person holding 90 is shown to be a 'guardian'.

  Since there are many IC tags that transmit serially assigned serial numbers, in this case, the serial number may be applied as the identification number.

  On the other hand, as shown in FIG. 6 as an example, the attribute information database DB2 is configured to store attributes for each identification information.

  The attribute is information indicating the characteristics of the person who has the IC tag 90 that transmits the corresponding identification information. In the attribute information database DB2 according to the present embodiment, as shown in FIG. It consists of gender, height, and status information. In the example shown in FIG. 6, for example, a person who possesses an IC tag 90 that transmits identification information “10001” is a 7-year-old man whose height is 110 cm, and “20003”. It is shown that the person who possesses the IC tag 90 that transmits the identification information is a 50-year-old man and a guard whose height is 173 cm.

  On the other hand, as shown in FIG. 7 as an example, the obstacle information database DB3 includes obstacle ID (Identification), area, and type information that exists in the monitoring target area 60 and prevents human walking. It is configured to be stored for each of the obstacles.

  The obstacle ID is information that is different for each obstacle by the crime prevention apparatus 20 in order to identify an obstacle existing in the monitoring target area 60 (as an example, the implanted obstacle 62 shown in FIG. 2). (In this embodiment, it is given in advance as information combining alphabets and numerals).

  The area is information indicating an area (position) where a corresponding obstacle exists. As shown in the figure, in the obstacle information database DB3 according to the present embodiment, an XY coordinate system having the origin as a predetermined base point position when the area to be monitored is viewed in plan is shown in the obstacle information database DB3. Is represented by a pair of diagonal coordinate values of a circumscribed rectangular frame of the corresponding obstacle, but is not limited to this, for example, a coordinate value by the XY coordinate system of the contour position of the corresponding obstacle It cannot be overemphasized that it can be set as other forms, such as a form denoted by.

  Moreover, the said classification is information which shows classifications, such as implantation, a fountain, and a heel, of a corresponding obstacle.

  On the other hand, as shown in FIG. 8 as an example, the position information database DB4 is configured so that information on camera ID, pixel position, and position coordinates is stored for each camera 40.

  The camera ID is given in advance as information different for each camera by the crime prevention apparatus 20 (in this embodiment, information combining alphabets and numbers) in order to identify the camera 40.

  By the way, in the crime prevention system 10 according to the present embodiment, each camera 40 is fixed in the shooting range (view angle) within a predetermined range by fixing the shooting direction and the enlargement ratio, and the state The pixel position by the solid-state image sensor incorporated in each camera 40 and the corresponding position coordinate in the XY coordinate system are stored in association with each other, and the camera position is obtained from the camera 40 based on this information. The position of a person existing in the image of the monitoring target area 60 indicated by the image information is specified.

  The pixel position and the position coordinate in the position information database DB4 correspond to the pixel position by the solid-state imaging device and the position coordinate in the XY coordinate system. The position of a person existing in the displayed image can be specified.

  In the position information database DB4 according to the present embodiment, as shown in FIG. 8, as the pixel position, a pair of diagonal coordinates of a rectangular pixel region (imaging region) in the solid-state imaging device. The position of the person in the XY coordinate system is specified by applying the value and referring to the position coordinates corresponding to the pixel area in which the person's area existing most in the captured image is included. As described above, in the present embodiment, information having a predetermined range is applied as the pixel position. However, the present invention is not limited to this, and for example, one point of the pixel region in the solid-state imaging device is used as the pixel position. And the position coordinates corresponding to the pixel position closest to the predetermined position (for example, the center of gravity of the whole body, the center position of the head, etc.) of the person in the captured image is set as the XY of the person. Needless to say, it is possible to adopt a form specified as a position in the coordinate system.

  On the other hand, as shown in FIG. 9 as an example, the age-specific crime execution rate database DB5 stores a combination of sex and age for each crime type, and for each combination of conditions corresponding to the age-specific crime execution rate. It is comprised so that it may be memorize | stored.

  The crime type is information indicating the type of crime targeted by the crime prevention system 10 according to the present embodiment. In the crime prevention system 10 according to the present embodiment, the crime types are five types of crimes of assault, injury, forced obscenity, public obscenity, and general kidnapping, but not limited to this. It goes without saying that other types of crimes committed against this may be targeted, and any of the above five types may be excluded from the target.

  Moreover, the sex in the said conditions is a condition which shows whether it is a man or a woman, and age is a condition which shows the age according to each division classified in steps in advance. In addition, in the crime prevention system 10 according to the present embodiment, each of the above-mentioned ages is set to be less than 20 years old, 20s, 30s, 40s, but not limited to this. For example, Regular divisions such as 1-year increments, 5-year increments, 10-year increments, two categories under 20 years old and 20 years old, under 20 years old, 20 years old to under 40 years old, 40 years old, over 50 years old, etc. Needless to say, other categories such as irregular categories may be used.

  Furthermore, the crime execution rate classified by age is information indicating the probability that a person who matches each combination of the corresponding conditions will commit the corresponding crime.

  In the crime prevention system 10 according to the present embodiment, the probability P (B) and the probability P (A | B) for each combination of corresponding conditions are converted into statistical values shown in FIGS. 16 to 20 as an example. Derived based on. In addition, the crime prevention system 10 observes the ratio of the number of people who apply the probability P (A) to the combination of the corresponding conditions with respect to the total number of people present in the time zone to be monitored in the monitoring target area 60. Derived based on past statistics. Then, the value obtained by substituting the derived probability P (B), probability P (A | B), and probability P (A) into the above equation (1) is registered as the crime execution rate by age. .

  Note that the statistical values shown in FIGS. 16 to 20 show values for a plurality of years. In this case, the value of the year closest to the current time is applied, and the value of the year with the highest number of crimes is applied. In the crime prevention system 10 according to the present embodiment, the probability P (B) is calculated by applying the value of the year with the largest number of cases. And the probability P (A | B) is derived.

  On the other hand, as shown in FIG. 10 as an example, the correction coefficient database DB6 stores a combination of age and each condition for each crime type, and stores a correction coefficient for each corresponding combination of conditions. It is comprised so that.

  The crime type and the age are the same information as the crime type and the age in the crime execution rate database DB5 by age, and the condition indicates whether the single or plural acts alone or plural. is there.

  The correction coefficient is a coefficient for correcting a crime risk value, which will be described later. In the crime prevention system 10 according to the present embodiment, a person who matches a combination of corresponding conditions corresponds as the correction coefficient. Information indicating the high probability of committing a crime is applied.

  In the crime prevention system 10 according to the present embodiment, the probability P (B) and the probability P (A | B) are shown as an example for each combination of the corresponding conditions, as in the crime execution rate classified by age. Derived based on statistical values shown in FIG. In addition, the crime prevention system 10 observes the ratio of the number of people who apply the probability P (A) to the combination of the corresponding conditions with respect to the total number of people present in the time zone to be monitored in the monitoring target area 60. Derived based on past statistics. Then, a value obtained by substituting the derived probability P (B), probability P (A | B), and probability P (A) into the equation (1) is registered as the correction coefficient.

  Note that the statistical values shown in FIGS. 16 to 20 show values for a plurality of years. In this case, too, the value of the year with the largest number of crimes is used, in which the value of the year closest to the current time is applied. Although the form which applies, the form which applies the average value of multiple years, etc. can be applied, in the crime prevention system 10 which concerns on this Embodiment, the value of the year with the largest number of cases is applied, and the said probability P (B ) And probability P (A | B).

On the other hand, as shown in FIG. 11 as an example, the crime risk value database DB7 is configured so that crime risk values indicating the level of crime risk by each indefinite person for each defender are stored in chronological order. Has been. In the figure, t represents the current time, t-δt represents the time δt seconds before the present, and t + δt represents the time δt seconds after the present. In addition, S ₁ , S ₂ ,... Represent different indefinite persons, and V ₁ , V ₂ ,.

  By the way, in the crime prevention system 10 according to the present embodiment, the crime type targeted for crime prevention (hereinafter referred to as “crime type targeted for crime prevention”) may be designated via the keyboard 20E of the crime prevention device 20 or the like. In the crime prevention system 10, crime prevention is performed with respect to the designated crime target crime type.

  Next, with reference to FIG. 12, the effect | action of the crime prevention system 10 which concerns on this Embodiment is demonstrated. FIG. 12 is a flowchart showing the flow of processing of a crime prevention program executed by the CPU 20A when an execution instruction is received via the keyboard 20E of the crime prevention device 20 or the like. Stored in advance in the program area PG of the unit 20D. Here, in order to avoid complications, the identification information database DB1, the attribute information database DB2, the obstacle information database DB3, the location information database DB4, the age-specific crime execution rate database DB5, and the correction coefficient database DB6 are constructed in advance. A case where a crime prevention crime type has already been designated will be described.

  In step 100 of the figure, all information relating to the monitoring target area 60 to be processed is read from the identification information database DB1, the attribute information database DB2, and the position information database DB4, and the age-specific crime execution rate database DB5 and the correction coefficient database are read. All information related to crime types targeted for crime prevention that have been designated in advance is read out from the DB 6, and in the next step 102, image information indicating captured images is acquired from all the cameras 40. Get all identification information.

  In the next step 106, all persons existing in the image are detected from the image indicated by the image information acquired by the process of step 102, and the positions of the detected persons are detected by the position information database DB4 by the process of step 100. Detection is performed by the above-described method using information read from. In addition, the detection of the person who exists in the said image from the said image is a technique etc. which are used by FieldAnalyst (registered trademark) (NEC Soft Corp.), IMS (Intelligent Monitoring System, Exit Corp.) etc. as an example. This can be done by a conventionally known technique.

  In the next step 108, based on the identification information acquired by the process of step 104, the types of all persons detected by the process of step 106 are specified as follows.

  First, the position of the person (hereinafter referred to as “IC tag holder”) who has the IC tag 90 that transmitted the identification information acquired by the process of step 104 is specified by the above-described triangulation technique, The types of all IC tag holders are specified by referring to the types corresponding to the acquired identification information from the information read from the identification information database DB1 by the process of step 100 above.

  Next, the positions of all persons detected by the process of step 106 (hereinafter referred to as “regional person”) are compared with the positions of all identified IC tag holders, and the positions of the IC tag holders are compared. By identifying the person who is in the area closest to the person who is the same person as the IC tag holder, the type of the IC tag holder among the person in the area is specified.

  Finally, it is determined that the person in the area excluding the IC tag holder is an indefinite person.

In the next step 110, the distance between the defender and the defender identified by the processing in step 108 is calculated for all combinations of the defender and the defender by the following equation (2), and the secondary storage unit 20D. Is stored in a predetermined area. Note that in equation (2), t is the current _{time, X Vi} is the X coordinate in the X-Y coordinate system of the position of the i-th of the defensive's _{V i, Y Vi} is the i-th of the defensive person a Y-coordinate in the X-Y coordinate system of the position of the V _{i, X Gk} is the X coordinate in the X-Y coordinate system of the position of the k-th defensive's _{G k, Y Gk} is k th defensive's a Y-coordinate in the X-Y coordinate system of the position of the G _{k, D ViGk} (t) is the distance between the defensive's _{G k} and the defensive's _{V i} at the present time.

In the next step 112, the distance between the indeterminate person and the defensive person specified by the process in step 108 is calculated for all combinations of the indefinite person and the defensive person by the following equation (3), and the secondary storage unit 20D Is stored in a predetermined area. In Equation (3), X _Sj is the X coordinate in the XY coordinate system of the position of the j-th indeterminate person S _j , and Y _Sj is the XY of the position of the j-th indeterminate person S _j. The Y coordinate in the coordinate system, and D _ViSj (t) is the distance between the defender V _i and the indefinite person S _j at the present time.

In the next step 114, it is determined whether or not the execution of the processing of the above steps 102 to 112 is the first execution after the execution of the crime prevention program is started. On the other hand, if the determination is negative, the process proceeds to step 116.

In step 116, the following equation (4) and (5), the predetermined time .DELTA.t distance _{D ViGk} the defensive's _{G k} and the defense's _{V i} after (here one second) (t + .DELTA.t), undefined user A distance D _ViSj (t + δt) between S _j and the defender V _i is calculated (predicted). Here, D _ViGk (t−δt) in the equation (4) is a distance between the defender G _k and the defender V _i before the predetermined time δt from the present time, and D _ViSj (t−δt) in the equation (5). ) Is the distance between the indeterminate person S _j and the defender V _i before the predetermined time δt from the present time, and the value obtained and stored by the processing of the previous step 110 and step 112 is applied.

In the calculation of this step 116, it is necessary to apply the values obtained by the previous processing of step 110 and step 112 related to the same person to each of the defender, the defender, and the indefinite person. For a person who is a person and a defender, a person whose identification information previously obtained by the process of step 104 and the identification information obtained this time coincides may be applied as the same person. The same person may be specified by the image recognition technique such as a conventionally known pattern matching technique using the image information obtained last time and the image information obtained this time.

As shown in FIG. 13 by way of example in the calculation of step 116, the distance D _ViGk (t + δt) is _determined according to the flow lines of the defender G _k , the defender V _i , and the indefinite person S _j. And the distance D _ViSj (t + δt) can be predicted with high accuracy.

In the next step 118, conditions in the age-specific crime execution rate database DB5 and the correction coefficient database DB6 regarding the undefined person _Sj are estimated. The gender and age of the indeterminate person S _j can be estimated by a conventionally known technique such as the technique used in the IMS or the like as an example. Further, the estimation as to whether or not the indeterminate person S _j is acting alone is that the distance from the position of the indeterminate person S _j detected by the processing of step 106 is within a predetermined threshold (2 m in the present embodiment). It can be performed by estimating that the person is acting alone when there is no other indeterminate person, and presuming that the person is acting plurally when the other person is uncertain.

In the next step 120, the correction coefficient R _{j_c} corresponding to the age and combination of the indeterminate S _j estimated by the process of step 118 is acquired from the information read from the correction coefficient database DB6 by the process of step 100. Is derived by

In step 120, corresponding to the sex of adventitious's S _j, and the age crime execution rate corresponding to the age of subsequent ages include age indefinite's S _j, age crime executed by the processing of step 100 The crime execution rate R _{j_p} of the indefinite person S _j is derived by substituting the acquired crime execution rate by age into the following equation (6), obtained from the information read from the rate database DB5. Here, AL in equation (6) is the average life span of the corresponding male or female, NA is the estimated age of the uncertain person S _j , and _pn is the crime execution rate by age corresponding to n years old.

As described above, in the crime prevention system 10 according to the present embodiment, the crime execution rate R _{j_p} is calculated using the average life of the corresponding gender, so that the predetermined storage means such as the ROM 20C, the secondary storage unit 20D, etc. Although the average life for each gender is stored in the area in advance, the present invention is not limited to this, and the user may input the average life through an input unit such as the keyboard 20E.

In the next step 122, the distance D _ViGk (t + δt) and the distance D _ViSj (t + δt) obtained by the process of step 116, the correction coefficient R _{j_c} and the crime execution rate R _{j_p} obtained by the process of step 120, and Is substituted into the following equation (7) to calculate a crime risk value R _ij (t + δt) indicating the level of crime risk against the defender V _i by the indefinite person S _j after a predetermined time δt, and the crime risk Store (register) in the value database DB7. Here, min _k () in Expression (7) is a function indicating that the minimum value for all k of the calculation results in parentheses is applied.

In the next step 124, the crime risk value R _ij (t + δt) obtained by the process in the above step 122 is used to execute a predetermined process for preventing crime, and then the process proceeds to step 126.

In the crime prevention program according to the present embodiment, the following five types of processes are applied as the predetermined processes in step 124.
Process 1. _Processing for displaying the crime risk value R _ij (t + δt) and the crime execution rate R _{j_p} on the display 20F.
Process 2. Processing for issuing a warning when the crime risk value R _ij (t + δt) is equal to or greater than a predetermined threshold.
Process 3. When the crime risk value R _ij (t + δt) is greater than or equal to a predetermined threshold value, a process of notifying the defender closest to the target defender that the crime risk is high.
Process 4. Processing for issuing a warning when the crime execution rate R _{j_p} is equal to or greater than a predetermined second threshold.
Process 5. When the crime execution rate R _{j_p} is equal to or greater than a predetermined second threshold, a process of notifying that there is an indeterminate person with a high crime execution rate nearby to the defender closest to the target indefinite person.

  In addition, when applying the process 2 and the process 4 above, a speaker is provided in the monitoring target area 60 and a warning is issued by the speaker, and a PDA ( Various forms such as a form for issuing a warning via a terminal device such as a personal digital assistant or a portable information terminal can be applied.

  In addition, when applying the process 3 described above, a speaker is provided in the monitoring target area 60, and the speaker notifies the defender closest to the target defender that the crime risk is high. Various forms can be applied, such as a form that notifies the defender that the crime risk is high via a terminal device such as a PDA.

  Furthermore, even when the process 5 is applied, a speaker is provided in the monitoring target area 60, and the speaker performs an indefinite person with a high crime execution rate against the defender closest to the target indefinite person. Various forms, such as a form for notifying that a person is near, a form for notifying an unidentified person with a high crime execution rate nearby via a terminal device such as a PDA to the defender, etc. it can.

  Here, the predetermined threshold value and the predetermined second threshold value when applying each of the processes 2 to 5 are automatically set according to the required safety level, usage, etc. It can also be set as the form made to input via the keyboard 20E etc. by the user of the crime prevention system 10. FIG.

  As described above, in the crime prevention program according to the present embodiment, the five types of processing 1 to 5 are applied as the predetermined processing. Any one of these or a combination of up to four may be applied.

  In step 126, it is determined whether or not a predetermined end condition is satisfied. If the determination is negative, the process proceeds to step 128 and waits for a predetermined time, and then returns to step 102. If the determination in step 126 is affirmative, the crime prevention program is terminated. The predetermined time applied in step 128 is a time that is adjusted in advance so that the repetition process of steps 102 to 128 is executed at intervals of the predetermined time δt as much as possible. Further, in the crime prevention program according to the present embodiment, the condition that the time set in advance as the time to end the monitoring of the monitoring target area 60 has been applied as the end condition to be applied in the processing of step 126 described above. However, the present invention is not limited to this. For example, a condition that an instruction input for instructing the end of the crime prevention program is made via the keyboard 20E or the like, and the remaining storage capacity of the secondary storage unit 20D is a predetermined amount. It goes without saying that other conditions such as the following conditions can also be applied.

  The process of step 106 of the crime prevention program is the detection means of the present invention, the process of step 108 is the specifying means of the present invention, the processes of steps 110 and 112 are the distance deriving means of the present invention, and the process of step 116 is In the distance predicting means of the present invention, the processing in step 118 is performed in the estimating means and the number of persons estimating means in the present invention, the processing in step 120 is performed in the deriving means and the correction coefficient deriving means in the present invention, and the processing in step 122 is performed in the calculation according to the present invention. The processing of step 124 corresponds to the processing execution means of the present invention.

  As described above in detail, in the present embodiment, based on the image information acquired by the imaging means (here, the camera 40) that acquires the image information of the target area in real time by imaging the target area. The position of the person existing in the target area is detected at a predetermined time interval (here, the predetermined time δt interval), and whether or not the detected person is a predetermined defender and an indefinite person excluding the defender. And identifying characteristic information indicating personal characteristics including at least the age of a person identified as an indefinite person based on the image information, and based on the estimated characteristic information, the indeterminate person includes the characteristic information in the characteristic information. Deriving a crime execution rate, which is the probability of executing a crime within the included lifetime, and indicating the level of crime risk caused by the indeterminate to the defender based on the derived crime execution rate. Crime risk value is calculated, and the calculated crime risk value is used to execute a predetermined process to prevent crime. Crime based on the crime execution rate by unspecified persons derived with high accuracy As a result of being able to execute a predetermined process for preventing the crime, the crime can be more effectively prevented as compared with the case where the present invention is not applied.

  Moreover, in this Embodiment, since the said characteristic information contains the sex of the person identified as the indefinite person, it can prevent crime more effectively.

Further, in the present embodiment, it is specified whether the detected person is the defender, the defender, or the indefinite person, and based on the position of the detected person and the identification result, the defender and the (here, the distance D _{ViGk (t))} first distance is the distance of the defensive person, and a second distance wherein a distance indefinite's and the object to be defensive person (here, the distance D _ViSj ( t)) is derived, and the crime risk value is calculated based on the ratio of the first distance to the second distance and the derived crime execution rate, so that the defender can be used effectively. As a result, crime can be prevented more efficiently.

Further, in the present embodiment, the defender after the predetermined time based on the amount of change between the first distance derived at the present time and the first distance derived at the time before the predetermined time. The distance of the defender (here, the distance D _ViGk (t + δt)) is predicted, and the second distance derived at the present time and the second distance derived at the time before the predetermined time Based on the amount of change, the distance between the indeterminate person and the defender after the predetermined time (here, the distance D _ViSj (t + δt)) is predicted, and the predicted distance between the defender and the defender, Since the crime risk value is calculated based on the ratio of the undefined person and the distance between the defender and the derived crime execution rate, the result of being able to predict the crime risk value after the predetermined time, more Immediate crime prevention.

Further, in the present embodiment, the number of persons who are identified as being indefinite and acting together is estimated based on the image information, and the correction for correcting the crime risk value based on the estimated number of persons Since the coefficient (here, the correction coefficient R _{j — c} ) is derived and the crime risk value is calculated as a value corrected by the correction coefficient, crime can be prevented more effectively.

  Further, in the present embodiment, defender identification information that is information for identifying the defender given in advance to the defender, and the defender given in advance to the defender. The identification information storage means (in this case, the secondary storage unit 20D) stores in advance the identification information of the defender, which is information for identifying the identification number, and the identification information of the defense and the defense field from the detected person. If any identification information of the person identification information is acquired and the acquired identification information matches the fielder identification information stored by the identification information storage means, the person who acquired the identification information is the fielder When the acquired identification information matches the defender identification information stored by the identification information storage means, the person who acquired the identification information is identified as the defender, People are undefined Since identified as those which are more reliably defensive person, the defensive person, and can determine the indefinite person, as a result, it is possible to prevent the crime more accurately.

  Further, in the present embodiment, as the predetermined process of the present invention, the process of storing the crime risk value and the crime execution rate, the process of displaying the crime risk value and the crime execution rate, the crime risk value And a process for issuing a warning when the crime execution rate is equal to or higher than a predetermined threshold, a process for notifying the defender closest to the target defender that the crime risk is high, and the crime execution rate is Since the process of notifying that there is an indeterminate person with a high crime execution rate nearby to the defender closest to the indeterminate person who is equal to or greater than a predetermined threshold, obtain an effect according to these processes. Can do.

  In the present embodiment, since the positions of the defender and the defender existing in the target area are detected at the predetermined time intervals using an IC tag, the present invention can be realized more easily. It is possible to prevent crimes with higher accuracy.

  Further, in the present embodiment, execution of crimes classified by age, which is derived according to a predetermined age based on the proportion of crimes actually committed by persons corresponding to estimated characteristic information (here, age and sex). A rate (here, crime execution rate by age registered in the age-specific crime execution rate database DB5) is associated with the corresponding characteristic information in advance by age-specific crime execution rate storage means (here, the secondary storage unit 20D). The crime execution rate classified by age corresponding to the estimated age of the indeterminate person is read from the crime execution rate storage means classified by age, and the crime execution rate is derived based on the read crime execution rate classified by age Therefore, the crime execution rate can be derived more easily and in a short time.

  In particular, in the present embodiment, since the crime execution rate by age group is derived in advance based on the Bayesian theory from statistical values of past crime occurrences, the crime execution rate can be derived more easily and with high accuracy. Can do.

  Furthermore, in this embodiment, since the crime execution rate is derived for each crime type, crime can be prevented for each crime type.

[Second Embodiment]
In the first embodiment, the example of the case where the crime risk value is obtained based on the distance between the defender and the defender, the distance between the indefinite person and the defender, and the crime execution rate of the undefined person has been described. In this second embodiment, the crime risk value is calculated based on the time for the defender to reach the defender, the time for the undefined person to reach the defender, and the crime execution rate of the undefined person. An example will be described.

  The configuration of the crime prevention system 10 according to the second embodiment is the same as that of the crime prevention system 10 according to the first embodiment (see FIGS. 1 to 4). Description is omitted.

  Next, the operation of the crime prevention system 10 according to the second exemplary embodiment will be described with reference to FIG. FIG. 14 shows the process flow of the crime prevention program according to the second embodiment, which is executed by the CPU 20A when an execution instruction is received via the keyboard 20E of the crime prevention apparatus 20 or the like. This is a flowchart, and the program is stored in advance in the program area PG of the secondary storage unit 20D. Further, steps in FIG. 14 that execute the same processing as in FIG. 12 are denoted by the same step numbers as in FIG. 12, and description thereof is omitted here.

In step 111 of the figure, by substituting the distance D _ViGk (t) obtained by the processing of step 110 into the following equation (8), the time P _ViGk ( t) is calculated and stored in a predetermined area of the secondary storage unit 20D. Here, F is in (8), (as one example, 1.3 m / s) average walking speed of adults is, _{W G} is a weight value for walking speed F.

In this embodiment, as the weighting value W _G, corresponding to the information read from the attribute information database DB2 by the processing of step 100, the identification information corresponding defensive individual is acquired from the IC tag 90 in possession Information on age, gender, and height of attributes to be extracted is extracted, and values corresponding to these information are applied.

In crime prevention system 10 according to the present embodiment, the age increases as it approaches a predetermined age (for example, 30 years old) as the age at which walking speed is maximum, and the woman is female when the gender is male. compared with increases in the case, and calculates the weighting value W _G to be larger as the height increases.

In this way, crime prevention system 10 according to the present embodiment, as a weighting value W _G, the age of the corresponding defensive person, although derived by applying all the sex and height, is not limited thereto, For example, it may be a form derived by applying any one of these age, gender, or height, or a combination of the two, and a form derived by applying a parameter that affects other travel speeds. You can also.

On the other hand, in step 113, the distance _{P ViSj} (t) obtained by the processing of step 112 is substituted into the following equation (9), so that each indeterminate person reaches each defender P _ViSj (t ) And is stored in a predetermined area of the secondary storage unit 20D. Here, a W _S weighting value for walking speed F in equation (9).

In this embodiment, as the weighting value W _S, the age of the corresponding undefined person, gender, estimates the height, is applied a value corresponding to the information. Note that the age, sex, and height of the indeterminate person can be estimated by a conventionally known technique such as the technique used in the IMS or the like as an example.

In the crime prevention system 10 according to the present embodiment, the age increases as it approaches a predetermined age as the age at which the walking speed is maximized, compared to a case where the gender is male and the female. increases, and it calculates the weighting value W _S so as to be larger as the height increases.

Thus, in the crime prevention system 10 according to the present embodiment, even if the weighting value W _S, similarly to the weighting value W _G, derived by applying the age of the corresponding defensive person, gender, and all height However, the present invention is not limited to this. For example, it may be derived by applying any one of these age, gender, height, or a combination of the two, and parameters that affect other traveling speeds may be used. It is also possible to adopt a form derived by applying.

On the other hand, in step 116 ', the following (10) and (11), a predetermined time .DELTA.t (here one second) time _{P ViGk} the defensive's _{G k} of later reaching the defensive person _{V i} (t + .DELTA.t) And the time P _ViSj (t + δt) for the indeterminate person S _j to reach the defender V _i is calculated (predicted). Here, P _ViGk (t−δt) in the equation (10) is a time for the defender G _k to reach the defender V _i before the predetermined time δt from the present time, and P _ViSj (t− in the equation (11)). δt) is the time for the indefinite person S _j to reach the defender V _{i a} predetermined time δt before the present time, and the value obtained and stored by the previous processing of step 111 and step 113 is applied.

In the calculation of step 116 ′, it is necessary to apply the values obtained by the previous processing of step 111 and step 113 related to the same person for each of the defender, the defender, and the indeterminate. For the defender and the defender, a person whose identification information previously obtained by the processing of step 104 and the identification information obtained this time coincides may be applied as the same person. The same person may be specified by an image recognition technique such as a conventionally known pattern matching technique using the image information obtained last time by the processing and the image information obtained this time.

As an example, as shown in FIG. 15, the calculation in step 116 ′ is performed according to the flow lines of the defender G _k , the defender V _i , and the indefinite person S _j , and the arrival time P _ViGk ( t + δt) and arrival time P _ViSj (t + δt) can be predicted with high accuracy.

In the next step 117, the traveling direction of the defender V _{i and} the traveling direction of the indefinite person S _j are derived. In the crime prevention program according to the present embodiment, the direction of travel is derived from the positions of the defender V _i and the indefinite person S _j obtained by the process of the previous step 106 and the process of the current step 106. This is performed by deriving the direction of the line segment connecting the positions of the defender V _i and the indefinite person S _j obtained by the same person, but is not limited to this. The difference between the positions of the defender V _i and the undefined person S _j obtained by the processing and the positions of the defender V _i and the undefined person S _j obtained by the process of the previous step 106 (hereinafter referred to as “first” a difference "hereinafter.), a position of the defensive's V _i and unspecified persons S _j obtained by the processing of the previous step 106, the defense's V _i and indeterminate obtained by the process of this step 106 Difference between the position of S _j (hereinafter, referred to as "second difference".) Derives, forms like the direction of the variation and change of the first difference and the second difference is reflected in the direction of the line, the other It can also be in the form.

Thereafter, in step 122 ′, the arrival time P _ViGk (t + δt) and the arrival time P _ViSj (t + δt) obtained by the process of step 116 ′, the correction coefficient R _{j_c} obtained by the process of step 120, and crime execution are obtained. By substituting the rate R _{j_p} into the following equation (12), a crime risk value R _ij (t + δt) ′ indicating the level of crime risk against the defender V _i by the indefinite person S _j after a predetermined time δt is obtained. Calculate and store (register) in the crime risk value database DB7. Here, (12) W _VS in the expression, in one or more weighting values as the value becomes larger near the traveling direction of the traveling direction to be defensive person V _i indefinite's S _j obtained by the process of step 117 Yes, min _k () is a function indicating that the minimum value for all k of the operation results in parentheses is applied.

The steps 111 and 113 of the crime prevention program are the arrival time deriving means and second estimation means of the present invention, the processing of step 116 'is the arrival time prediction means of the present invention, and the process of step 117 is the present invention. The processing in step 122 ′ corresponds to the advancing direction deriving means and the computing means of the present invention.

As described above in detail, the second embodiment can achieve substantially the same effects as those of the first embodiment, and the defender can use the first distance based on the first distance. A first arrival time (here, arrival time P _ViGk (t)) that is a time to reach the defender is derived, and the time that the indeterminate person reaches the defender based on the second distance. The second arrival time (here, arrival time P _ViSj (t)) is derived, and the crime is based on the ratio between the derived first arrival time and the second arrival time, and the derived crime execution rate. Since the risk value is calculated, crime can be prevented with higher accuracy.

  In particular, in the second embodiment, a person's age, sex, and height are estimated based on the image information, and the first arrival time and the second time are determined according to the estimated age, sex, and height. Since the arrival time is adjusted, crime can be prevented with higher accuracy.

In the second embodiment, the time after the predetermined time based on the amount of change between the first arrival time derived at the current time and the first arrival time derived at the time before the predetermined time. The time when the defender reaches the defender (here, the arrival time P _ViGk (t + δt)) is predicted, and the second arrival time derived at the present time and the first time derived at the time before the predetermined time. Based on the amount of change from the arrival time of 2, the time that the indefinite person reaches the defender after the predetermined time (here, the arrival time P _ViSj (t + δt)) is predicted, and the predicted defender Since the crime risk value is calculated based on the ratio of the time to reach the defender and the time at which the indefinite person reaches the defender and the derived crime execution rate, after the predetermined time Can predict the crime risk value of Kill a result, it is possible to more immediate to crime prevention.

  Further, in the second embodiment, the traveling direction of the defensive person and the traveling direction of the undefined person are derived, and the value increases as the traveling direction of the undefined person is closer to the derived traveling direction of the defender. Since the crime risk value is calculated so as to increase, crime can be prevented with higher accuracy.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. Various modifications or improvements can be added to the above-described embodiment without departing from the gist of the invention, and embodiments to which such modifications or improvements are added are also included in the technical scope of the present invention.

  The above embodiments do not limit the invention according to the claims (claims), and all the combinations of features described in the embodiments are essential for the solution means of the invention. Is not limited. The embodiments described above include inventions at various stages, and various inventions can be extracted by appropriately combining a plurality of disclosed constituent elements. Even if some constituent requirements are deleted from all the constituent requirements shown in the embodiment, as long as an effect is obtained, a configuration from which these some constituent requirements are deleted can be extracted as an invention.

  For example, in the first embodiment, the predicted values obtained by the expressions (4) and (5) are applied as the distance between the defender and the defender and the distance between the indeterminate person and the defender, and the second In the embodiment, the case where the predicted values obtained by the equations (10) and (11) are applied as the time for the defender to reach the defender and the time for the undefined person to reach the defender has been described. The present invention is not limited to this, and instead of these predicted values, the actual distance and arrival time at that time can be applied.

  When the actual distance is applied to the first embodiment, step 116 of the crime prevention program (see FIG. 12) according to the first embodiment is deleted, and crime is performed at step 122. An arithmetic expression applied to calculate the risk value is the following expression (13).

In addition, when applying the actual reach to the second embodiment, the step 116 ′ of the crime prevention program (see FIG. 14) according to the second embodiment is deleted. The arithmetic expression applied to calculate the crime risk value in step 122 ′ is the following expression (14).

In these cases as well, substantially the same effects as in the above embodiments can be obtained.

  Further, in each of the above embodiments, the case where the crime risk value is derived without considering any obstacles present in the monitoring target area 60 has been described, but the present invention is not limited to this, The crime risk value may be derived in consideration of the obstacle.

  As an example of this case, in steps 110 and 112 of the crime prevention program, the distance between the defender and the defender (hereinafter referred to as “first distance”) and the distance between the indeterminate person and the defender (hereinafter referred to as “first distance”). When deriving “the second distance”), when there is an obstacle area indicated by the area information registered in the obstacle information database DB3 between the defender and the defender, The first distance is derived as a detour for the obstacle area, and if the obstacle area exists between the indefinite person and the defender, the first distance is assumed as a detour for the obstacle area. A mode of deriving the distance of 2 can be exemplified. In this case, the secondary storage unit 20D corresponds to the area information storage unit of the present invention.

  Thereby, crime can be prevented with higher accuracy.

  In each of the above embodiments, the case where the positions of the defender and the defender are detected using the IC tag 90 has been described. However, the present invention is not limited to this, for example, using GPS. Thus, the positions of the defender and the defender can be detected.

  As an example of this case, the guarder and the defender have a device and a wireless transmission device that can specify their own position by GPS, information indicating the position specified by the device, The form which transmits the identification information allocated to self to the crime prevention apparatus 20 by the said radio | wireless transmission apparatus every said predetermined time (delta) t can be illustrated.

  In this case, it is not necessary to provide the antenna 30 in the monitoring target area, so that the present invention can be realized more easily than in the above embodiments.

  Further, in each of the above embodiments, the case where the antenna 30 and the camera 40 are electrically connected to the crime prevention apparatus 20 by wire has been described, but the present invention is not limited to this, and these Each device can be electrically connected wirelessly. Also in this case, the same effects as those of the above embodiments can be obtained.

  In each of the above embodiments, the case where four cameras 40 are provided has been described. However, the present invention is not limited to this, and only one camera 40 may be provided, and a plurality of cameras other than four may be provided. Needless to say, it may be provided. In these cases, the same effects as those in the above embodiments can be obtained.

  In each of the above-described embodiments, the case where the Euclidean distance is applied as the distance of the present invention has been described. However, the present invention is not limited to this, and, for example, a form in which another distance such as a Manhattan distance is applied. It can also be. Also in this case, the same effects as those of the above embodiments can be obtained.

  In each of the above-described embodiments, the case where the attribute information is registered in advance by the attribute information database DB2 has been described. However, the present invention is not limited to this, and for example, the IC tag 90 includes the IC tag 90. It is also possible to store in advance attribute information related to the person who owns and acquire the attribute information via the antenna 30. Also in this case, the same effects as those of the above embodiments can be obtained.

  Further, in each of the above embodiments, the case where a camera capable of shooting a moving image in color is applied as the shooting means of the present invention, but the present invention is not limited to this, for example, Another camera such as a camera capable of shooting a moving image in monochrome or an infrared camera may be applied. Also in this case, the same effects as those of the above embodiments can be obtained.

  Moreover, in each said embodiment, although the case where a park was applied as an object area | region of this invention was demonstrated, this invention is not limited to this, For example, the form which applies other areas, such as an open space It can also be. Also in this case, the same effects as those of the above embodiments can be obtained.

  In addition, the application target of the attribute described in each of the above embodiments is also an example. For example, when the status of the attribute of the defender is a child, the crime risk value is increased as compared with other cases. It can also be a form or the like.

  In each of the above embodiments, the crime execution rate, the ratio of the distance between the defender and the defender and the distance between the undefined person and the defender, or the time when the defender reaches the defender and the undefined person is defensive. However, the present invention is not limited to this, for example, based only on the crime execution rate. The crime risk value may be calculated, or the crime risk value may be calculated based only on the crime execution rate and the ratio.

In addition, as a form to calculate the crime risk value based only on the crime execution rate, a form in which the crime execution rate itself is applied as a crime risk value, or a coefficient (as an example) determined in advance for the crime execution rate. A mode of applying a value obtained by multiplying the weighting value W _vs or the like according to the second embodiment as a crime risk value can be exemplified.

Moreover, as a form which calculates a crime risk value based only on the crime execution rate and the ratio, a form in which a calculation formula in which the correction coefficient R _{j_c} is deleted from the formulas (7) and (12) is applied. be able to.

  In these cases as well, substantially the same effects as in the above embodiments can be obtained.

  Further, in each of the above embodiments, the case where the crime execution rate by age is derived for each gender has been described, but the present invention is not limited to this. It is good also as a form to derive. Also in this case, substantially the same effects as those of the above embodiments can be obtained.

  Moreover, although each said embodiment demonstrated the case where both age and sex were applied as a condition of an undefined person applied when deriving the crime execution rate of an undefined person, this invention is limited to this. It is also possible to adopt a form in which only the age is applied. In addition, for these two types of conditions, the clothes of unspecified persons (such as “wearing sunglasses”), appearance (such as “foreigners”), personal belongings (such as “have a knife”), behavior patterns ( It is also possible to adopt a form in which one or a combination of these conditions is applied, including conditions such as “drunk wind”. In these cases, the crime execution rate classified by age according to the applied conditions is registered and applied to the crime execution rate database DB5 classified by age. Also in this case, the same effects as those of the above embodiments can be obtained.

  Further, in each of the above embodiments, the case where the condition of the number of persons acting together is divided into two stages, “single” and “plural”, but the present invention is not limited to this. For example, it is good also as a form classified into three or more steps, such as single, 2 to 3 people, 4 to 5 people, and so on. In this case, in the correction coefficient database DB6, a correction coefficient corresponding to a condition that is the same as the applied category is registered and applied. Also in this case, the same effects as those of the above embodiments can be obtained.

  In each of the above embodiments, the case where the crime execution rate and the correction coefficient by age are derived using Bayesian theory has been described. However, the present invention is not limited to this, and has been actually performed in the past. These values may be derived by other known probability derivation methods using the statistical information of crimes. Also in this case, the same effects as those of the above embodiments can be obtained.

  In each of the above embodiments, the crime execution rate, the correction coefficient, and the crime risk value are derived for each crime type. However, the present invention is not limited to this, for example, a plurality of crimes. These values may be derived for each type of combination. Also in this case, the same effects as those of the above embodiments can be obtained.

  Further, in each of the above embodiments, no particular mention was made regarding the age of the unidentified person to be applied or restrictions due to physical disabilities, but the relative relationship between the age of the defensive person and the unidentified person (for example, If the person who is an adult and the unidentified person is a kindergarten child), or if the unidentified person cannot be moved by himself / herself, the elderly, or a disabled person, the risk value for committing a crime by the unidentified person can be considered to be zero. It is good. Also in this case, the same effects as those of the above embodiments can be obtained.

  In addition, the configuration of the crime prevention system 10 described in the above embodiments (see FIGS. 1 to 4) is merely an example, and unnecessary components may be deleted without departing from the gist of the present invention. Needless to say, new components can be added.

  Moreover, the processing flow of the crime prevention program shown in the above embodiments (see FIGS. 12 and 14) is also an example, and unnecessary processing steps can be deleted without departing from the gist of the present invention. Needless to say, new processing steps can be added or the order of the processing steps can be changed.

  The configurations of various databases shown in the above embodiments (see FIGS. 5 to 11) are also examples, and some information may be deleted or new within the scope of the gist of the present invention. It goes without saying that information can be added and the storage location can be changed.

  Furthermore, the various arithmetic expressions shown in the above embodiments (see the expressions (1) to (14)) are also examples, and unnecessary parameters can be deleted without departing from the gist of the present invention. It goes without saying that new parameters can be added and the order of operations can be changed.

10 Crime Prevention System 20 Crime Prevention Device 20A CPU
20D secondary storage (identification information storage means, area information storage means, age-specific crime execution rate storage means)
20F Display 30 Antenna (Acquisition means)
40 Camera (photographing means)
90 IC tag DB1 Identification information database DB2 Attribute information database DB3 Obstacle information database DB4 Location information database DB5 Crime execution rate database by age group DB6 Correction coefficient database DB7 Crime risk value database

Claims (13)

Photographing means for obtaining image information of the target area in real time by photographing the target area;
Detecting means for detecting positions of persons existing in the target area at predetermined time intervals based on image information acquired by the photographing means;
A specifying means for specifying whether or not the person detected by the detecting means is an indefinite person excluding a predetermined defender and a defender;
Estimating means for estimating, based on the image information, characteristic information indicating personal characteristics including at least the age of a person identified as an indefinite person by the specifying means;
Deriving means for deriving a crime execution rate, which is a probability that the undefined person will execute a crime within the lifetime after the age included in the characteristic information, based on the characteristic information estimated by the estimating means;
Based on the crime execution rate derived by the derivation means, computing means for computing a crime risk value indicating the level of crime risk by the indeterminate against the defender;
Using the crime risk value calculated by the calculation means, a process execution means for executing a process predetermined as preventing crime,
Crime prevention device equipped with. The crime prevention apparatus according to claim 1, wherein the characteristic information includes a gender of a person identified as an indeterminate person by the identifying unit. The specifying means specifies whether the person detected by the detecting means is the defender, the defender, or the indefinite person,
Based on the position of the person detected by the detecting means and the specifying result by the specifying means, a first distance that is a distance between the defender and the defender, and a distance between the indefinite person and the defender A distance deriving unit for deriving a second distance;
The calculation means calculates the crime risk value based on a ratio between the first distance and the second distance derived by the distance deriving means and a crime execution rate derived by the deriving means. The crime prevention apparatus according to claim 2. The defender after the predetermined time based on the amount of change between the first distance derived by the distance deriving means at the present time and the first distance derived by the distance deriving means at the time before the predetermined time; While predicting the distance of the defender, the amount of change between the second distance derived by the distance deriving means at the present time and the second distance derived by the distance deriving means at the time before the predetermined time Further comprising distance predicting means for predicting the distance between the indeterminate person and the defender after the predetermined time,
The calculation means includes a ratio between the distance between the defender and the defender predicted by the distance prediction means, a distance between the indeterminate person and the defender, and a crime execution rate derived by the derivation means. The crime prevention apparatus according to claim 3, wherein the crime risk value is calculated based on the crime. A first arrival time, which is a time for the defender to reach the defender, is derived based on the first distance, and the indefinite person reaches the defender based on the second distance. An arrival time deriving means for deriving a second arrival time that is a time to
The computing means computes the crime risk value based on a ratio between a first arrival time and a second arrival time derived by the arrival time deriving means and a crime execution rate derived by the deriving means. Item 4. A crime prevention apparatus according to item 3. Based on the amount of change between the first arrival time derived by the arrival time deriving means at the present time and the first arrival time derived by the arrival time deriving means at the time before the predetermined time, the time after the predetermined time The time that the defender reaches the defender is predicted, and the second arrival time derived by the arrival time deriving means at the present time and the arrival time deriving means at the time before the predetermined time An arrival time predicting means for predicting the time when the indeterminate person after the predetermined time reaches the defender based on the amount of change from the second arrival time;
The computing means is derived by the ratio of the time that the defender arrives at the defender predicted by the arrival time predicting means and the time at which the indefinite person reaches the defender, and derived by the deriving means. The crime prevention apparatus according to claim 5, wherein the crime risk value is calculated based on the committed crime execution rate. A traveling direction deriving means for deriving the traveling direction of the defender and the traveling direction of the indeterminate person;
The said calculating means calculates the said crime risk value so that a value becomes large, so that the advancing direction of the said uncertain person is near the advancing direction of the said defensive person derived | led-out by the said advancing direction deriving means. 6. The crime prevention apparatus according to any one of items 6. A region information storage unit that stores in advance region information indicating an area of an obstacle that hinders a person's walking in the target region,
The distance deriving means derives the first distance assuming that the area of the obstacle is detoured when the area of the obstacle indicated by the area information exists between the defender and the defender. And if the area of the obstacle exists between the indeterminate person and the defender, the second distance is derived as a detour around the area of the obstacle. The crime prevention device according to any one of 7. The number of people estimating means for estimating the number of people acting together with the person identified as undefined by the specifying means, based on the image information;
Correction coefficient deriving means for deriving a correction coefficient for correcting the crime risk value based on the number of persons acting together estimated by the number of persons estimating means;
Further comprising
The crime prevention apparatus according to any one of claims 1 to 8, wherein the calculation means calculates the crime risk value as a value corrected by the correction coefficient. These are information for identifying the defender given in advance to the defender, and information for identifying the defender given in advance to the defender. Identification information storage means for storing the defender identification information in advance;
Obtaining means for obtaining any identification information of the defender identification information and the defender identification information from a person detected by the detection means;
Further comprising
The identification means identifies that the person who acquired the identification information is the defender when the identification information acquired by the acquisition means matches the defender identification information stored by the identification information storage means When the identification information acquired by the acquisition means matches the defender identification information stored by the identification information storage means, the person who acquired the identification information is identified as the defender. The crime prevention device according to any one of claims 1 to 9, wherein another person is identified as an indefinite person. The process execution means includes a process for storing at least one of the crime risk value and the crime execution rate, a process for displaying at least one of the crime risk value and the crime execution rate, as the predetermined process, A process for issuing a warning when at least one of the risk value and the crime execution rate is equal to or greater than a predetermined threshold, a process for notifying that the crime risk is high for the defender closest to the target defender, The at least one process of notifying that there is an indeterminate person with a high crime execution rate nearby to the defender closest to the indefinite person with a crime execution rate equal to or greater than the predetermined threshold is executed. The crime prevention device according to any one of claims 10 to 10. A crime execution rate classified by age, which is derived according to a predetermined age based on the proportion of crimes actually committed by the person corresponding to the characteristic information estimated by the estimation means, is associated with the corresponding characteristic information. It further includes a pre-stored age-specific crime execution rate storage means,
The deriving means reads out a crime execution rate classified by age corresponding to the age of the undetermined person estimated by the estimation means from the crime execution rate storage means classified by age, and the crime based on the read crime execution rate classified by age The crime prevention apparatus according to any one of claims 1 to 11, wherein an execution rate is derived. Computer
Detecting means for detecting a position of a person existing in the target area at predetermined time intervals based on image information acquired by an imaging unit that acquires image information of the target area in real time by shooting the target area;
A specifying means for specifying whether or not the person detected by the detecting means is an indefinite person excluding a predetermined defender and a defender;
Estimating means for estimating, based on the image information, characteristic information indicating personal characteristics including at least the age of a person identified as an indefinite person by the specifying means;
Deriving means for deriving a crime execution rate, which is a probability that the undefined person will execute a crime within the lifetime after the age included in the characteristic information, based on the characteristic information estimated by the estimating means;
Based on the crime execution rate derived by the derivation means, computing means for computing a crime risk value indicating the level of crime risk by the indeterminate against the defender;
Using the crime risk value calculated by the calculation means, a process execution means for executing a process predetermined as preventing crime,
Program to function as.