JP2010154085A - Information processing device and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To associate an image or video closer to a scene an observer has observed from among the moving images photographed by a plurality of image taking means with an observation record. <P>SOLUTION: An observation memorandum acquiring portion 30 acquires an observation memorandum, inputted by an observer in an observation space where a plurality of video cameras having different imaging ranges respectively are set. An observation range specifying portion 32 specifies an observation range within the observation space designated by the observer. A position-specifying portion 38 specifies a position of the observer at a timing when the observer has inputted the observation record. A video-camera selecting portion 34 selects, from among a plurality of video cameras, a video camera whose imaging range includes at least a part of the observation range and whose direction of viewing the position within the observation range is similar to the direction of viewing the position within the observation range, from the position specified by the position specifying portion 38. An observation note generation portion 36 associates a moving image taken by the video camera selected by the video camera selecting portion 34 with the observation memorandum. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to an information processing apparatus and a program.

It is performed that an observer leaves a record of observation by using both writing information and image information or video information. Patent Document 1 below discloses a surveillance camera system that acquires an image when a motion is detected.
JP 2008-42695 A

  An object of the present invention is to provide an information processing apparatus and a program capable of associating an image or video that is closer to a scene observed by an observer, among moving images captured by a plurality of imaging units, with an observation record. It is.

  In order to solve the above problems, an information processing apparatus according to claim 1 includes an observation record acquisition unit that acquires an observation record input by an observer in an observation space in which a plurality of imaging units each having a different imaging range are installed. , Position specifying means for specifying the position of the observer at a timing corresponding to the timing when the observer inputs the observation record, and area specifying means for specifying the observation area in the observation space specified by the observer And the imaging range includes at least a part of the observation area specified by the area specifying means, and the direction in which the position in the observation area is desired is within the observation area from the position specified by the position specifying means. A selection unit that selects at least one of the plurality of imaging units as the imaging unit that is similar to the direction in which the position is desired, and the imaging unit selected by the selection unit. Means for associating an image or a moving image including the image at a timing corresponding to a timing at which the observer inputs the observation record with the observation record acquired by the observation record acquisition unit, among the moving images captured by the unit. It is characterized by including.

  The information processing apparatus according to claim 2 is the information processing apparatus according to claim 1, wherein when the identification information of the person observed by the observer is input, the observation record acquisition means stores the identification information. When the means for associating with the acquired observation record and the characteristics of the person observed by the observer are input, a moving image obtained by imaging the image including the person having the characteristics by the imaging means selected by the selection means An image extraction unit that extracts from an image, an identification information acquisition unit that acquires identification information of a person included in the image extracted by the image extraction unit, and an identification record acquired by the identification information acquisition unit And means for associating with the observation record acquired by the means.

  The program according to claim 3 is an observation record acquisition unit that acquires an observation record input by an observer in an observation space in which a plurality of imaging units each having a different imaging range are installed. Position specifying means for specifying the position of the observer at a timing corresponding to the timing at which recording is input, area specifying means for specifying an observation area in the observation space specified by the observer, and the imaging range is the area specifying The direction including at least a part of the observation area specified by the means, and the direction in which the position in the observation area is desired is similar to the direction in which the position in the observation area is desired from the position specified by the position specifying means. A selection unit that selects at least one of the plurality of imaging units as the imaging unit, and a moving image captured by the imaging unit selected by the selection unit The computer is caused to function as a means for associating an image or a moving image including the image at a timing corresponding to the timing at which the observer inputs the observation record with the observation record obtained by the observation record obtaining means. And

  The program may be provided via a communication network such as the Internet, or may be provided by being stored in various computer-readable information recording media such as a flexible disk, a CD-ROM, and a DVD-ROM. .

  The program may be stored in a computer-readable information recording medium. As the information recording medium, for example, magnetic tape, flexible disk, hard disk, CD-ROM, MO, MD, DVD-ROM, IC card, etc. can be used.

  According to the first and third aspects of the present invention, it is possible to associate an image or video closer to the scene observed by the observer among the moving images picked up by the plurality of image pickup means with the observation record.

  According to the second aspect of the present invention, even if an object that the observer does not know exists in the observation space, a decrease in observation accuracy is suppressed.

[1. About observation space]
Embodiments of the present invention will be described with reference to the drawings. FIG. 1 is an example of a sketch of an observation space 4 in which an observer 2 performs fieldwork. The observation space 4 is, for example, a corporate office. In FIG. 1, desks and chairs arranged in the observation space are omitted.

  As shown in FIG. 1, the observation space 4 includes an observer 2, a total of three video cameras, a video camera 6a, a video camera 6b, and a video camera 6c, and a plurality of persons to be observed 8. The observer 2 moves around in the observation space 4 and observes the person 8 to be observed during the observation target period. Each video camera images the state in the observation space 4 during the observation target period, and stores information (hereinafter referred to as video information) indicating the video captured during the observation target period. Each video camera is installed at a predetermined position in the observation space 4, and has different imaging ranges as indicated by arrows in FIG. The person to be observed 8 is, for example, an employee working in the observation space 4. Hereinafter, when the video camera 6a, the video camera 6b, and the video camera 6c are not distinguished, they are referred to as the video camera 6.

  A plurality of virtual blocks are set in the observation space 4. A region partitioned by a dotted line represents each block. Each block is specified by its matrix number. For example, a block including the observer 2 is represented as (3, 6).

[2. About observation method]
The observer 2 moves in the observation space 4 while holding the light emitting device. The observer 2 moves in the observation space 4 while holding the portable computer. An observation sheet shown in FIG. 2 is displayed on the touch panel of the portable computer. The observer 2 inputs information to the observation sheet displayed on the touch panel during the observation target period. 2A shows an example of an observation sheet before information is input by the observer 2, and FIG. 2B shows an example of an observation sheet after information is input by the observer 2.

  As shown in FIG. 2, the observation sheet includes an observer field, a memo field, and a location field. When the observer 2 inputs the name (for example, Tanaka) of the person 8 to be observed, the left of the name of the person 8 to be observed as shown in FIG. Put a check mark in the check box located at. Note that the observer 2 may not know the name of the person to be observed 8 who is the observation target. In this case, the observer 2 can input the characteristics of the person to be observed 8 that is the observation target. When inputting the characteristics of the person 8 to be observed, the observer 2 writes a check mark in the check box, and in the right margin of the check box, the person to be observed is the observation object. A word indicating the characteristics of the person 8 is written. In FIG. 2B, “cap” is described as a feature of the person 8 to be observed.

  Moreover, when the observer 2 inputs a memo (hereinafter referred to as an observation memo) regarding the observation contents, the observer 2 writes the observation memo in the memo field. For example, as shown in FIG. 2B, the observer 2 writes a sentence that is an observation memo in the memo field.

  In addition, when the observer 2 designates an area to be observed (hereinafter referred to as an observation area), the observer 2 selects the observation space 4 displayed in the place field as shown in FIG. An observation region is designated by describing a trajectory surrounding the observation region on a reduced view of the sketch (hereinafter referred to as a reduced sketch).

  In the portable computer, information including information described in each field and the time when the information is described in each field (hereinafter referred to as observation information) is stored.

  When the observation target period ends, an observation note shown in FIG. 3 is generated by information processing of the information processing apparatus 10 described later.

  FIG. 3 is a diagram illustrating an example of an observation note. As shown in the figure, the observation note includes a time field, an observer field, a memo field, a location field, and a snapshot field.

[3. About Information Processing Device]
Hereinafter, processing for generating an observation note performed by the information processing apparatus 10 will be described.

[Hardware configuration]
FIG. 4 is a diagram illustrating an example of a hardware configuration of the information processing apparatus 10. As shown in FIG. 1, the information processing apparatus 10 is a known computer system including a control unit 12, a main storage unit 14, an auxiliary storage unit 16, an operation unit 18, and a display unit 20. Each unit is connected by a bus 22 so as to be able to exchange data. The information processing apparatus 10 includes a communication interface, a speaker, and the like (not shown).

  The control unit 12 is a microprocessor, for example. The control unit 12 executes information processing according to a program stored in the main storage unit 14.

  The main storage unit 14 is, for example, a RAM. The main memory 14 stores the above program. The main memory 14 stores various data necessary for information processing.

  The operation unit 18 is a user interface for a user to perform operation input. The operation unit 18 is, for example, a keyboard or a mouse. The display unit 20 is a display, for example. The display unit 20 displays information output from the control unit 12.

The auxiliary storage unit 16 is a hard disk, for example. Various data are stored in the auxiliary storage unit 18. In the case of this embodiment, for example, the following data is stored.
1. 1. Video information stored in each video camera 2 2. Observation information stored in the portable computer Person database4. Imaging range table

  In the case of the present embodiment, the video information is transferred from each video camera 6 and stored in the auxiliary storage unit 16 after the observation target period ends. The observation information is also transferred from the portable computer after the observation target period ends and stored in the auxiliary storage unit 16. The person database and the imaging range table are stored in advance in the auxiliary storage unit 18.

  FIG. 5 is a diagram illustrating an example of a person database. The person database is a table in which each name of an employee working in the observation space 4 is associated with an image of the employee. In the present embodiment, this table includes a name field and an image field. The name field stores the name of the employee. The image field stores employee images.

  FIG. 6 is a diagram illustrating an imaging range table. The imaging range table is a table in which each video camera 6 is associated with its imaging range. In the present embodiment, the imaging range table includes a video camera field and an imaging range field. In the video camera field, the ID of each video camera 6 is stored. In the imaging range field, information indicating the imaging range of each video camera 6 is stored. Here, specific information of blocks included in the imaging range of each video camera 6 is stored.

[Processes executed by the information processing device]
FIG. 7 is a flowchart illustrating an example of processing executed by the information processing apparatus 10. This process is executed by the control unit 12 operating according to a program stored in the main storage unit 14. In the case of the present embodiment, this process is executed when a user of the information processing apparatus 10 performs a predetermined operation.

  The control unit 12 specifies the time T when the observation memo is input by the observer 2 (S101). In the case of this embodiment, the control part 12 specifies the time when the observation memo was described in the memo field of the observation sheet as the time T with reference to the observation information.

  And the control part 12 inserts time T in the time field of an observation note, as shown in FIG. 3 (S102).

  In addition, the control unit 12 specifies an observation area designated by the observer 2 (S103). In the case of the present embodiment, the control unit 12 refers to the observation information and identifies a block surrounded by the locus described on the reduced sketch as an observation region.

  Then, as shown in FIG. 3, the control unit 12 inserts the observation region specified in step S103 into the observation note location field (S104). In the case of this embodiment, the specific information of the block surrounded by the locus described on the reduced sketch is inserted into the location field of the observation note.

  Moreover, the control part 12 acquires the observation memo input by the observer 2 (S105). In the case of the present embodiment, the control unit 12 refers to the observation information and acquires the observation memo described in the memo field of the observation sheet.

  Then, the control unit 12 inserts the observation memo acquired in step S105 into the memo field of the observation note (S106).

  Further, the control unit 12 acquires an image (hereinafter referred to as a snapshot image) indicating the appearance of the observation space 4 when the observer 2 inputs an observation memo from the video information of the video camera 6 (S107).

  In the case of the present embodiment, as shown in FIG. 8, the control unit 12 calculates an evaluation score Ev for each video camera 6 based on the observation region specified in step S103 (S201).

Specifically, the control unit 12 calculates the evaluation score Ev of the video camera 6 according to the following equation (1).
Ev = α1 * Co + α2 * Si + α3 * Di (1)

  Here, α1, α2, and α3 are predetermined numerical values. The coverage ratio Co is a ratio of the number of blocks included in the observation area to the number of blocks included in the imaging range of the video camera 6. The distance Di is, for example, the distance of the video camera 6 from a position in the observation area (for example, the center of gravity position of the observation area).

  The visual field similarity Si is the similarity between the line-of-sight direction Q of the observer 2 at the time T and the line-of-sight direction S of the video camera 6. Here, the visual field similarity Si is a cosine of an angle formed by the visual line direction Q of the observer 2 at time T and the visual line direction S of the video camera 6. Here, as shown in FIG. 9, the direction when viewing the position P in the observation region (for example, the center of gravity of the observation region) from the position of the observer 2 at the time T is the line of sight of the observer 2 at the time T. The direction when the position P is viewed from the video camera 6 is used as the direction Q of the video camera 6. Therefore, the value of the visual field similarity Si changes depending on the positional relationship between the position of the observer 2 and the observation area at the time T. The control unit 12 specifies the position of the observer 2 at time T based on the position of the light emitting device in the image captured by each video camera 6 at time T.

  Then, the control unit 12 selects the video camera 6 whose evaluation score Ev is 1 to N (N is a positive integer equal to or smaller than 2). In the present embodiment, the control unit 12 selects the video camera 6 having the largest evaluation score Ev (S202). By the processing shown in S201 and S202, the imaging range includes at least a part of the observation area, and the direction in which the position P in the observation area is desired is similar to the direction in which the position P is desired from the position of the observer 2 at time T. The video camera 6 to be selected is selected.

  Then, the control unit 12 refers to the video information of the video camera 6 selected in step S202, and acquires an image captured by the video camera 6 at time T as a snapshot image (S203).

  When the snapshot image is acquired, the control unit 12 inserts the snapshot image into the snapshot field of the observation note as shown in FIG. 3 (S108). As a result, the snapshot is associated with the observation memo.

  Moreover, the control part 12 acquires the name of the person 8 to be observed who became the observation object of the observer 2 (S109).

  In the case of the present embodiment, in step S109, the control unit 12 refers to the observation information and specifies a check box in which a check mark is described. And the control part 12 specifies the name of the person 8 to be observed who became the observation object of the observer 2 by performing the process shown in FIG. 10 about each of the check boxes in which the check marks are described.

  That is, the control unit 12 refers to the observation information and determines whether or not the wording on the right side of the check box to be processed matches any name stored in the name field of the person database. Determine (S301).

  If the wording to the right of the check box to be processed matches one of the names stored in the name field of the person database (Y in S301), the right of the check box to be processed Is acquired as the name of the person to be observed 8 who became the observation object of the observer 2 (S302).

  On the other hand, if the wording to the right of the check box that is the processing target does not match any name stored in the name field of the person database (N in S301), that is, the processing target. When the characteristics of the person 8 to be observed are described on the right side of the check box, the control unit 12 uses the well-known image processing technique to extract an image of the person having the characteristics from the snapshot image acquired in step S107. Extract (S303). For example, when “hat” is written to the right of the check box to be processed, the control unit 12 extracts an image of a person wearing a hat from the snapshot.

  And the control part 12 displays the image extracted by the step of S303 on the display part 20 (S304). When the user who refers to the image displayed on the display unit 20 in step S304 inputs the name of the person included in the image, the control unit 12 sets the name input by the user as the observation target of the observer 2. Obtained as the name of the person to be observed 8 (S305). Note that the control unit 12 additionally stores the image extracted in step S303 in the image field of the person database, and additionally stores the name input by the user in the name field of the person database.

  When the name of the person to be observed 8 who is the observation target of the observer 2 is acquired, the control unit 12 inserts the name acquired in step S109 into the person to be observed field of the observation note as illustrated in FIG. (S110). As a result, when the observer 2 has input the name of the person 8 to be observed, the name is associated with the observation memo. Further, when the observer 2 has input the characteristics of the person 8 to be observed, the name of the person having the characteristics is associated with the observation memo. For example, according to FIG. 3, the name “Fukuda” of a person wearing a hat is inserted in the observed person field of the observation note.

[Function block]
FIG. 11 is a functional block diagram mainly showing functions related to the present invention among the functions of the information processing apparatus 10. As illustrated in FIG. 1, the information processing apparatus 10 includes an observation memo acquisition unit 30, an observation region specification unit 32, a video camera selection unit 34, and an observation note generation unit 36. These functions are realized by the control unit 12 operating according to the program.

  The observation memo acquisition unit 30 (observation memory acquisition means) is realized mainly by the control unit 12. The observation memo acquisition unit 30 acquires the observation memo input by the observer 2.

  In the present embodiment, the observation memo acquisition unit 30 refers to the observation information and acquires the observation memo described in the memo field of the observation sheet (S105 in FIG. 7). The observation memo acquisition unit 30 also specifies the time T when the observation memo is input by the observer 2 (S101 in FIG. 7).

  The observation area specifying unit 32 (area specifying means) is realized mainly by the control unit 12. The observation area specifying unit 32 specifies the observation area specified by the observer 2.

  In the case of the present embodiment, the observation region specifying unit 32 refers to the observation information and specifies a block surrounded by the locus described on the reduced sketch as an observation region (S103 in FIG. 7).

  The video camera selection unit 34 (selection means) is realized mainly by the control unit 12. The video camera selecting unit 34 includes a position specifying unit 38, and the video camera selecting unit 34 is based on the observation region specified by the observation region specifying unit 32 and at least one video from the three video cameras 6. The camera 6 is selected.

  In the case of this embodiment, the video camera selection unit 34 selects the video camera 6 based on the positional relationship between the position of the observer 2 at time T and the observation region specified by the observation region specification unit 32. Specifically, the video camera selection unit 34 calculates the evaluation point Ev of each video camera 6 according to the above equation (1) (S201 in FIG. 8). For example, when calculating the coverage ratio Co, the video camera selection unit 34 calculates the ratio of the number of blocks included in the observation region specified by the observation region specification unit 32 to the number of blocks included in the imaging range of the video camera 6. calculate. For example, when calculating the distance Di, the video camera selection unit 34 calculates the distance of the video camera 6 from the position in the observation region (for example, the center of gravity position of the observation region).

  For example, when calculating the visual field similarity Si, the video camera selection unit 34 looks at the position P in the observation area (for example, the center of gravity position of the observation area) from the position of the observer 2 at time T. The cosine of the angle between Q and the direction S when the position P is viewed from the video camera 6 is calculated. As a result, the video camera 6 in which the imaging range includes at least a part of the observation area and the direction in which the position P in the observation area is desired is similar to the direction in which the position P is desired from the position of the observer 2 at time T. Selected. Note that the position of the observer 2 at time T is specified by the position specifying unit 38 based on, for example, the position of the light emitter in the image captured by each video camera 6 at time T.

  The observation note generator 36 is realized mainly by the controller 12. The observation note generation unit 36 includes a snapshot acquisition unit 40, an image extraction unit 42, and a name acquisition unit 44. The observation note generation unit 36 generates an observation note.

  In this embodiment, the observation note generation unit 36 inserts the time T specified by the observation note acquisition unit 30 into the time field of the observation note (S102 in FIG. 7).

  Further, the observation note generation unit 36 inserts the observation region specified by the observation region specification unit 32 in the observation note location field (S104 in FIG. 7).

  Further, the observation note generation unit 36 inserts the observation memo acquired by the observation memo acquisition unit 30 into the memo field of the observation note (S106 in FIG. 7).

  In addition, the observation note generation unit 36 inserts the video or image captured by the video camera 6 selected by the video camera selection unit 34 during the observation target period into the snapshot field of the observation note, so that the video camera 6 The video or image captured during the observation target period is associated with the observation memo acquired by the observation memo acquisition unit 30.

  In the case of this embodiment, the snapshot acquisition unit 40 refers to the video information of the video camera 6 selected by the video camera selection unit 34, and acquires an image captured by the video camera 6 at time T as a snapshot image ( S107 in FIG. 7 and S203 in FIG. 8). Then, the observation note generation unit 36 inserts the snapshot image acquired by the snapshot acquisition unit 40 into the snapshot field of the observation note (S108 in FIG. 7).

  In addition, the observation note generation unit 36 inserts the name of the person 8 to be observed of the observer 2 into the person to be observed field of the observation notebook, thereby observing the person 2 to be observed by the observer 2. The name 8 is associated with the observation memo acquired by the observation memo acquisition unit 30.

  In the case of the present embodiment, the observation note generation unit 36 refers to the observation information, and if the wording on the right side of the check box matches any name stored in the name field of the person database, The name described on the right side of the target check box is inserted as the name of the person 8 to be observed by the observer 2 in the observer field of the observation note (S301 in FIG. 10, FIG. 10 S302 and FIG. 7 S110). As a result, when the observer 2 has input the name of the observed person 8 observed during the observation target period, the name is associated with the observation memo acquired by the observation memo acquisition unit 30.

  On the other hand, if the wording on the right side of the check box does not match any name stored in the name field of the person database, that is, the feature of the observer 8 on the right side of the check box to be processed. Is described, the image extraction unit 42 refers to the video information of the video camera 6 selected by the video camera selection unit 34, and the video or image (for example, snapshot) captured by the video camera 6 during the observation target period. An image of a person having a feature is extracted from the snapshot image acquired by the acquisition unit 40 (S303 in FIG. 10). After that, when the name acquisition unit 44 acquires the name of the person included in the image extracted by the image extraction unit 42 (S305 in FIG. 10), the observation note generation unit 36 uses the name acquired by the name acquisition unit 44. The name of the person 8 to be observed by the observer 2 is inserted into the person to be observed field of the observation notebook (S110 in FIG. 7). As a result, when the observer 2 has input the characteristics of the observed person 8 observed during the observation period, the name of the person having the characteristics is associated with the observation memo acquired by the observation memo acquisition unit 30. Become.

  Note that the present invention is not limited to the embodiment described above.

For example, the evaluation point Ev is not limited to that represented by the formula (1). For example, Ev may be calculated according to any one of formulas (2) to (4) below.
Ev = α1 * Co Expression (2)
Ev = α1 * Co + α2 * Si Formula (3)
Ev = α1 * Co + α2 * Si + α3 * Di + α4 * P Formula (4)
Here, α4 is a predetermined numerical value, and P is an observed person 8 specified by the observer 2 included in the image captured by the video camera 6 at time T (a check mark is written in the check box). The number of persons to be observed 8).

  Further, for example, in step S203, the control unit 12 captures an image between time T−ΔT and time T + ΔT instead of acquiring an image captured by the video camera 6 at time T as a snapshot image. An image including the largest number of images of the person to be observed 8 designated by the observer 2 may be extracted from the obtained images, and the extracted image may be acquired as a snapshot image.

  Further, for example, in the above-described embodiment, the observer 2 inputs a check mark or the like on the observation sheet displayed on the touch panel of the portable computer, thereby performing input of the observer 8, designation of the observation area, and the like. However, any method may be used for the input method of the person to be observed 8 and the method for specifying the observation region. For example, an observation sheet is printed on a special paper on which a dot pattern having a special arrangement is printed, and a check mark or the like is written on the paper with a digital pen, so that the input of the person to be observed 8 and the observation area You may make it specify. In this case, handwriting information stored in the digital pen may be used as observation information.

It is a figure which shows an example of the sketch of observation space. It is a figure which shows an example of an observation sheet. It is a figure which shows an example of an observation note. It is a figure which shows the hardware constitutions of the information processing apparatus which concerns on embodiment of this invention. It is a figure which shows an example of the memory content of a person database. It is a figure which shows an example of the memory content of an imaging range table. It is a flowchart which shows an example of the process performed with the information processing apparatus which concerns on embodiment of this invention. It is a flowchart which shows an example of the process performed with the information processing apparatus which concerns on embodiment of this invention. It is a figure for demonstrating the calculation method of a visual field similarity. It is a flowchart which shows an example of the process performed with the information processing apparatus which concerns on embodiment of this invention. It is a functional block diagram which shows the function which the information processing apparatus which concerns on embodiment of this invention has.

Explanation of symbols

  2 observers, 4 observation spaces, 6a, 6b, 6c video camera, 8 person to be observed, 10 information processing device, 12 control unit, 14 main storage unit, 16 auxiliary storage unit, 18 operation unit, 20 display unit, 22 bus 30 observation memo acquisition unit, 32 observation region specification unit, 34 video camera selection unit, 36 observation note generation unit, 38 position specification unit, 40 snapshot acquisition unit, 42 image extraction unit, 44 name acquisition unit.

Claims (3)

An observation record acquisition means for acquiring an observation record input by an observer in an observation space where a plurality of imaging means each having a different imaging range are installed;
Position specifying means for specifying the position of the observer at a timing corresponding to a timing at which the observer inputs the observation record;
Area specifying means for specifying an observation area in the observation space designated by the observer;
The imaging range includes at least a part of the observation area specified by the area specifying means, and the direction in which the position in the observation area is desired is a position in the observation area from the position specified by the position specifying means. Selecting means for selecting at least one of the plurality of imaging means as the imaging means similar to a desired direction;
The observation record acquisition unit acquires an image or a moving image including the image at a timing corresponding to the timing at which the observer inputs the observation record among the moving images captured by the imaging unit selected by the selection unit. Means associated with the observed records,
An information processing apparatus comprising: Means for associating the identification information with the observation record acquired by the observation record acquisition means when the identification information of the observed person observed by the observer is input;
An image extracting means for extracting an image including a person having the feature from the moving image captured by the imaging means selected by the selection means when the characteristics of the observed person observed by the observer are input;
Identification information acquisition means for acquiring identification information of a person included in the image extracted by the image extraction means;
Means for associating the identification information acquired by the identification information acquisition means with the observation record acquired by the observation record acquisition means;
The information processing apparatus according to claim 1, further comprising: Observation record acquisition means for acquiring an observation record input by an observer in an observation space in which a plurality of imaging means each having a different imaging range are installed
Position specifying means for specifying the position of the observer at a timing corresponding to a timing at which the observer inputs the observation record;
Area specifying means for specifying an observation area in the observation space designated by the observer;
The imaging range includes at least a part of the observation area specified by the area specifying means, and the direction in which the position in the observation area is desired is a position in the observation area from the position specified by the position specifying means. Selecting means for selecting at least one of the plurality of imaging means as the imaging means similar to the direction in which the user desires
The observation record acquisition unit acquires an image or a moving image including the image at a timing corresponding to the timing at which the observer inputs the observation record among the moving images captured by the imaging unit selected by the selection unit. Means associated with the observed records,
As a program that allows the computer to function.

Images