CN112163568B - Scenic spot person searching system based on video detection - Google Patents
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Abstract
The invention discloses a scenic spot person searching system based on video detection, which comprises: the first mobile terminal is used for sending help seeking information to the back-end server, wherein the help seeking information comprises face images of the lost people; the front-end monitoring equipment is used for acquiring a video image, detecting a face image in the video image according to a first instruction of the rear-end server and sending the detected face image to the rear-end server; playing the person searching information according to a second instruction of the back-end server; and the back-end server is used for sending a first instruction to the front-end monitoring equipment according to the help seeking information, comparing the face image uploaded by the front-end monitoring equipment with the face image sent by the help seeking equipment, and sending a second instruction to the front-end monitoring equipment meeting the first preset condition after the comparison is successful. The invention adopts the face recognition technology to detect the position of the lost person appearing at the end in the scenic spot, thereby reducing the person searching area and improving the person searching efficiency in the scenic spot.
Description
Technical Field
The invention belongs to the technical field of scenic spot monitoring, and particularly relates to a scenic spot person searching system based on video detection.
Background
With the improvement of living standard of people, more and more people go out to travel, and the scenic spot that sets up is also more and more, and the scenic spot scale is also bigger and more. In a scenic spot, people walking away from the scenic spot are common things, and people who go away from the scenic spot are difficult to find due to the fact that visitors in the scenic spot are numerous. The existing scenic spot generally seeks the help of workers through a tourist center and the like going to the scenic spot, and then seeks people in the whole scenic spot through broadcasting, so that the people seeking efficiency is low.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a scenic spot person searching system based on video detection.
The purpose of the invention is realized by the following technical scheme: scenic spot person seeking system based on video detection includes:
the first mobile terminal is used for sending help seeking information to the rear-end server, wherein the help seeking information comprises face images of the lost people;
the front-end monitoring equipment is arranged at different positions of a scenic spot and is used for acquiring video images of a monitored area to which the front-end monitoring equipment belongs, detecting face images in the video images according to a first instruction of the rear-end server and sending the detected face images to the rear-end server; playing the person searching information according to a second instruction of the back-end server;
and the rear-end server is arranged in a monitoring center of a scenic spot and used for sending a first instruction to the front-end monitoring equipment according to the help seeking information, comparing the face image uploaded by the front-end monitoring equipment with the face image sent by the help seeking equipment, and sending a second instruction to the front-end monitoring equipment meeting a first preset condition after the comparison is successful.
Preferably, the first preset condition is that a front-end monitoring device of the video image of the person who loses scatter is acquired recently.
Preferably, the scenic spot people-seeking system based on video detection further comprises:
the second mobile terminal is carried on the body of a scenic spot worker;
and the back-end server sends a third instruction for searching people to the second mobile terminal meeting a second preset condition after the comparison is successful.
Preferably, the second preset condition is a second mobile terminal within a set range from the front-end monitoring device meeting the first preset condition.
Preferably, the back-end server is further configured to generate a motion trajectory of the lost and scattered person according to the position information of the front-end monitoring device that detects the lost and scattered person and the time of detecting the lost and scattered person, and predict a subsequent path of the lost and scattered person according to the motion trajectory of the lost and scattered person.
Preferably, the first preset condition includes a front-end monitoring device that has detected the video image of the person who loses his/her sight recently, and a front-end monitoring device that is closest to the front-end monitoring device that has detected the video image of the person who loses his/her sight recently on the predicted subsequent path.
Preferably, the detecting, by the front-end device, a face image in the video image includes:
extracting a motion area in the video image by using an inter-frame difference method;
extracting a suspected face area in the motion area by using a contour detection method;
and judging whether the suspected face area is a face image or not by using a skin color detection method, and if so, cutting out the face image.
The beneficial effects of the invention are:
(1) The invention adopts the face recognition technology to detect the position of the lost person appearing at the end in the scenic spot, and reduces the person searching area, thereby being capable of finding the lost person more quickly and improving the person searching efficiency in the scenic spot;
(2) According to the invention, the video image is preprocessed in the front-end monitoring equipment, the face image in the video image is extracted, and the face image is only transmitted to the rear-end server for comparison, so that the data transmission quantity is greatly reduced, the positioning of the scatterer can be completed more quickly, and the efficiency of searching people in the scenic spot is improved.
Drawings
FIG. 1 is a block diagram of one embodiment of the present invention;
fig. 2 is a flowchart of detecting a face image according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1-2, the present invention provides a scenic spot people-seeking system based on video detection:
as shown in fig. 1, the scenic spot people-searching system based on video detection includes a back-end server, a front-end monitoring device and a first mobile terminal.
The first mobile terminal is used for sending help seeking information to the rear-end server, and the help seeking information comprises face images, scattering time, scattering positions and the like of scattering personnel.
The number of the front-end monitoring equipment is multiple, and the front-end monitoring equipment is arranged at different positions of a scenic spot. The front-end monitoring equipment is used for acquiring a video image of a monitoring area to which the front-end monitoring equipment belongs, detecting a face image in the video image according to a first instruction of the rear-end server, and sending the detected face image to the rear-end server; and playing the person searching information according to a second instruction of the back-end server.
As shown in fig. 2, the front-end device detecting a face image in a video image includes: the motion area in the video image is extracted by utilizing an interframe difference method, the interframe difference method has the characteristic of high calculation speed, the motion area can be extracted quickly, the influence of a static object is eliminated by extracting the motion area, and the data processing amount of subsequent face detection is reduced; extracting a suspected face area in the motion area by using a contour detection method, namely extracting the contour of each object in the motion area, comparing the contour with a preset face contour to find out an area containing a suspected face image, and judging the suspected face area by using the contour, wherein the calculation speed is high; and judging whether the suspected face area is a face image or not by using a skin color detection method, if so, cutting the face image, and finally judging through skin color, so that the accuracy of face image detection is improved.
The back-end server is arranged in a monitoring center of a scenic spot and used for sending a first instruction for detecting the face information to the front-end monitoring equipment according to the help seeking information, comparing the face image uploaded by the front-end monitoring equipment with the face image sent by the help seeking equipment, and sending a second instruction for searching and broadcasting to the front-end monitoring equipment meeting a first preset condition after the comparison is successful.
Specifically, after the back-end server receives the help seeking information, the front-end monitoring equipment in the scenic spot sends a first instruction, the front-end monitoring equipment performs face detection on the video image acquired by the front-end monitoring equipment according to the first instruction, and the video image is the video image acquired by the front-end monitoring equipment after the scattering time of the scattered personnel, so that the place where the scattered personnel arrive can be detected, and a motion track is generated for the scattered personnel.
Specifically, the back-end server respectively extracts the features of the face image uploaded by the front-end monitoring device and the face image sent by the help seeking device, compares the features, and sends a second instruction to the front-end monitoring device after the comparison is successful. The front-end monitoring equipment plays the person searching information according to the second instruction, and the way of playing the person searching information comprises one or more of the ways of searching the person information through voice broadcasting and displaying the person searching information through a display screen, so that the attention of more people can be attracted, and the lost people can be found as soon as possible.
In some embodiments, the first preset condition is that a front-end monitoring device collects video images of the people who are lost and scattered recently, so that the person searching range is greatly reduced, and the people who are lost and scattered can be found quickly.
In some embodiments, the back-end server is further configured to generate a motion trajectory of the loser according to the position information of the front-end monitoring device where the loser is detected and the time when the loser is detected, and predict a subsequent path of the loser according to the motion trajectory of the loser. The method for predicting the subsequent path of the lost personnel comprises the following steps: acquiring a first scenic spot (including landscapes, various buildings and the like) where the lost and scattered people stay after losing and scattering according to the motion track of the lost and scattered people; classifying the first scenic spots where the lost and scattered persons stay, and calculating the probability of the lost and scattered persons staying at the first scenic spots of various types; acquiring the nearest second scenic spots on roads (excluding the roads where the lost personnel travel to the last appearing position of the lost personnel) from the last appearing position of the lost personnel (the position of the front-end monitoring equipment where the lost personnel are detected recently), and acquiring the types of the second scenic spots; and judging the probability of the scattered personnel going to each second scenic spot according to the type of the second scenic spot and the probability of the scattered personnel staying at each first scenic spot, and generating a corresponding subsequent path (the higher the probability of staying at a certain scenic spot is, the higher the probability of going to the type of scenic spot is, and if the scattered personnel does not stay at the certain scenic spot before, the lowest the probability of going to the type of scenic spot is).
In some embodiments, the first preset condition includes a front-end monitoring device that has detected the video image of the person who loses scatter recently, and a front-end monitoring device that is closest to the front-end monitoring device that has detected the video image of the person who loses scatter recently on the predicted subsequent path.
In some embodiments, the scenic spot person finding system based on video detection further comprises a second mobile terminal, wherein the second mobile terminal is carried on a person in the scenic spot and is used for receiving a relevant instruction and uploading a person finding result; and the rear-end server sends a third instruction for searching people to the second mobile terminal meeting a second preset condition after the comparison is successful, and the staff searches people according to the third instruction, wherein the third instruction comprises the face image of the lost personnel, the position of the front-end monitoring equipment which detects the lost personnel recently, the time for detecting the lost personnel and the like. The second preset condition is a second mobile terminal (staff member) within a set range from the front-end monitoring device meeting the first preset condition, for example, the second mobile terminal is within 100 meters from the front-end monitoring device meeting the first preset condition, where the distance refers to a road distance rather than a straight-line distance. The embodiment provides various people searching modes such as broadcasting people searching, manual people searching and the like, and can improve the people searching efficiency.
The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (5)
1. Scenic spot people-searching system based on video detection is characterized by comprising:
the first mobile terminal is used for sending help seeking information to the rear-end server, wherein the help seeking information comprises face images of the lost people;
the front-end monitoring equipment is arranged at different positions of a scenic spot and used for acquiring video images of monitoring areas to which the front-end monitoring equipment belongs and detecting face images in the video images according to a first instruction of the rear-end server, the video images for detecting the face images are video images acquired by the front-end monitoring equipment after the scattering time of scattered personnel, and the detected face images are sent to the rear-end server; playing the person searching information according to a second instruction of the back-end server;
the back-end server is arranged in a monitoring center of a scenic spot and used for sending a first instruction to the front-end monitoring equipment according to the help seeking information, comparing the face image uploaded by the front-end monitoring equipment with the face image sent by the help seeking equipment and sending a second instruction to the front-end monitoring equipment meeting a first preset condition after the comparison is successful;
the rear-end server is further used for generating the motion trail of the lost personnel according to the position information of the front-end monitoring equipment of the lost personnel and the time of detecting the lost personnel and predicting the follow-up path of the lost personnel according to the motion trail of the lost personnel;
the method for predicting the subsequent path of the lost personnel comprises the following steps: acquiring a first scenic spot where the lost personnel stay after losing according to the motion track of the lost personnel; classifying the first scenic spots where the lost and scattered persons stay, and calculating the probability of the lost and scattered persons staying at the first scenic spots of various types; acquiring nearest second scenic spots on each road starting from the last appearing position of the lost and scattered people, and acquiring the types of the second scenic spots; judging the probability of the lost personnel going to each second scenic spot according to the type of the second scenic spot and the probability of the lost personnel staying at each first scenic spot, and generating a corresponding subsequent path, wherein the higher the probability of staying at a certain scenic spot, the higher the probability of going to the type of scenic spot, and if the lost personnel does not stay at the certain scenic spot before, the lowest probability of going to the type of scenic spot subsequently is; the first preset condition is that the video image of the lost and scattered person is collected recently.
2. The video detection-based scenic spot people-seeking system of claim 1, wherein the video detection-based scenic spot people-seeking system further comprises:
the second mobile terminal is carried on the body of a scenic spot worker;
and the back-end server sends a third instruction for searching people to the second mobile terminal meeting a second preset condition after the comparison is successful.
3. The system according to claim 2, wherein the second preset condition is a second mobile terminal within a set range from the front-end monitoring device meeting the first preset condition.
4. The video detection-based scenic spot people-finding system of claim 1, wherein the first preset condition includes a front-end monitoring device that has recently detected the video image of the lost person, and a front-end monitoring device that is closest to the front-end monitoring device that has recently detected the video image of the lost person on the predicted subsequent path.
5. The video detection-based scenic spot people-seeking system according to claim 1, wherein the front-end monitoring device detecting the face image in the video image comprises:
extracting a motion area in the video image by using an inter-frame difference method;
extracting a suspected face area in the motion area by using a contour detection method;
and judging whether the suspected human face area is a human face image or not by using a skin color detection method, and if so, cutting out the human face image.
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| CN112949396B (en) * | 2021-01-29 | 2023-11-24 | 南通大学 | Self-adaptive method for searching for people on the same trip in scenic spot |
| CN112949427A (en) * | 2021-02-09 | 2021-06-11 | 北京奇艺世纪科技有限公司 | Person identification method, electronic device, storage medium, and apparatus |
| CN114254492A (en) * | 2021-12-08 | 2022-03-29 | 新国脉文旅科技有限公司 | Passenger flow behavior track destination simulation method based on passenger flow portrayal |
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