CN112541384B

CN112541384B - Suspicious object searching method and device, electronic equipment and storage medium

Info

Publication number: CN112541384B
Application number: CN202010750268.2A
Authority: CN
Inventors: 李蔚琳; 王建军; 张贵明; 黄潇莹
Original assignee: Shenzhen Sensetime Technology Co Ltd
Current assignee: Shenzhen Sensetime Technology Co Ltd
Priority date: 2020-07-30
Filing date: 2020-07-30
Publication date: 2023-04-28
Anticipated expiration: 2040-07-30
Also published as: TW202205150A; WO2022021711A1; CN112541384A

Abstract

The application discloses a suspicious object searching method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a first image to be confirmed and a face image library containing face images of suspicious objects; executing a human body searching task under the condition that the fact that the human face similarity between the human face image library and the first image to be confirmed exceeds a human face similarity threshold value is determined, and the fact that the first image to be confirmed contains the human body of the suspicious object is determined; the human body searching task comprises the following steps: and comparing the first image to be confirmed with the images in the database to obtain at least one image with the similarity exceeding a human similarity threshold value between the first image to be confirmed and the images, and taking the at least one image as at least one target image.

Description

Suspicious object searching method and device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of security technologies, and in particular, to a method and apparatus for searching a suspicious object, an electronic device, and a storage medium.

Background

In the security field, related personnel can search the suspicious object through the identity information under the condition of determining the identity information of the suspicious object. With the increase of the monitoring cameras, how to effectively use the images acquired by the monitoring cameras has very important significance for searching suspicious objects.

Disclosure of Invention

The application provides a suspicious object searching method and device, electronic equipment and storage medium.

In a first aspect, a suspicious object searching method is provided, and the method includes:

acquiring a first image to be confirmed and a face image library containing face images of suspicious objects;

executing a human body searching task under the condition that the fact that the human face similarity between the human face image library and the first image to be confirmed exceeds a human face similarity threshold value is determined, and the fact that the first image to be confirmed contains the human body of the suspicious object is determined;

the human body searching task comprises the following steps: and comparing the first image to be confirmed with the images in the database to obtain at least one image with the similarity exceeding a human similarity threshold value between the first image to be confirmed and the images, and taking the at least one image as at least one target image.

In combination with any one of the embodiments of the present application, before the performing the human body search task, the method further includes:

acquiring human body searching time;

the step of searching the first image to be confirmed and comparing the image in the database with the human body to obtain at least one image with the similarity exceeding a human body similarity threshold value as at least one target image, wherein the method comprises the following steps:

In a human body searching time period, comparing the first image to be confirmed with images in the database to obtain at least one image with similarity exceeding the human body similarity threshold value between the first image to be confirmed and the images to be used as the at least one target image; the starting time of the human body searching time period is the starting time of executing the human body searching task, and the duration of the human body searching time period is the human body searching duration.

In combination with any one of the embodiments of the present application, before the performing the human body search task, the method further includes: acquiring a human body searching range;

in the human body searching time period, comparing the first image to be confirmed with the images in the database to obtain at least one image with similarity exceeding the human body similarity threshold value, wherein the at least one image is used as the at least one target image and comprises the following steps:

and in the human body searching time period, comparing the first image to be confirmed with an image with a collecting position in the human body searching range to obtain at least one image with the similarity exceeding the human body similarity threshold value between the first image to be confirmed and the image with the collecting position in the human body searching range, and taking the at least one image as the at least one target image.

In combination with any of the embodiments of the present application, the at least one target image includes a first image and a second image;

before the performing the human body search task, the method further comprises: acquiring human body comparison time intervals;

in the human body searching time period, comparing the first image to be confirmed with an image with a collecting position in the human body searching range to obtain at least one image with similarity exceeding the human body similarity threshold value between the first image to be confirmed and the image, wherein the at least one image is used as the at least one target image and comprises the following steps:

comparing the first image to be confirmed with an image with a collecting position in the human body searching range to obtain an image with similarity exceeding the human body similarity threshold value between the first image to be confirmed and the image with the collecting position in the human body searching range, and taking the image as the first image;

acquiring at least one third image with the acquisition position in the human body searching range after the starting time of the searching time period;

when the sum of the human body comparison time interval and the human body comparison time interval is smaller than the human body searching time length and the first image is successfully sent to a first terminal in the human body interval time period, comparing the first image to be confirmed with the at least one third image to obtain an image, of which the similarity with the first image to be confirmed in the at least one third image exceeds the human body similarity threshold, as the second image; the human body comparison time length is the time length from the starting time of the human body searching time period to the time length of obtaining the first image.

In combination with any one of the embodiments of the present application, the human body searching task further includes:

sending a first warning instruction containing the at least one target image to a second terminal; the first warning instruction is used for indicating the second terminal to display the at least one target image.

In combination with any one of the embodiments of the present application, after the first to-be-confirmed image having the feature data matching the first to-be-confirmed image is obtained by using the first to-be-confirmed image retrieval database, before the performing of the human body search task, the method further includes:

acquiring a second image to be confirmed; the acquisition position of the second image to be confirmed is different from the acquisition position of the first image to be confirmed;

stopping executing the human body searching task under the condition that the human face similarity between a fourth image and the second image to be confirmed exceeds the human face similarity threshold value and the second image to be confirmed is confirmed to contain a human body, and comparing the second image to be confirmed with the images in the database to obtain an image with the similarity exceeding the human body similarity threshold value as a new target image; and the fourth image is an image, in the face image library, of which the face similarity with the first image to be confirmed exceeds the face similarity threshold value.

In combination with any one of the embodiments of the present application, the acquiring the first image to be confirmed includes:

acquiring a first video stream to be processed; the first video stream to be processed is acquired by a face camera;

and intercepting a frame of image from the first video stream to be processed as the first image to be confirmed.

acquiring a second video stream to be processed; the second video stream to be processed comprises the first video stream to be processed and a video stream acquired by a human body camera;

and storing the images in the second video stream to be processed into the database.

In combination with any of the embodiments of the present application, the at least one target image includes a fifth image, and the method further includes:

under the condition that a video viewing request for the fifth image sent by the second terminal is received, intercepting a video stream to be displayed containing the fifth image from the video stream to be processed;

and sending the video stream to be displayed to the second terminal.

In a second aspect, there is provided an object finding apparatus, the apparatus comprising:

The acquisition unit is used for acquiring a first image to be confirmed and a face image library containing face images of suspicious objects;

the processing unit is used for executing a human body searching task under the condition that the fact that the human face similarity between the first image to be confirmed and the human face image library exceeds a human face similarity threshold value is determined, and the first image to be confirmed contains the human body of the suspicious object is determined;

In combination with any one of the embodiments of the present application, the obtaining unit is further configured to obtain a human body searching duration before the performing the human body searching task;

In combination with any one of the embodiments of the present application, the obtaining unit is further configured to obtain a human body searching range before the performing the human body searching task;

the acquisition unit is further used for acquiring a human body comparison time interval before the human body searching task is executed;

In combination with any one of the embodiments of the present application, the obtaining unit is further configured to obtain, after the searching database using the first to-be-confirmed image, a first to-be-confirmed image having feature data matching the first to-be-confirmed image, and before the performing the human body searching task, a second to-be-confirmed image; the acquisition position of the second image to be confirmed is different from the acquisition position of the first image to be confirmed;

the processing unit is further configured to stop executing the human body searching task when it is determined that the human face similarity between the fourth image and the second image to be confirmed exceeds the human face similarity threshold, and it is determined that the second image to be confirmed contains a human body, and compare the second image to be confirmed with the images in the database to obtain an image with the similarity between the second image to be confirmed and the image exceeding the human body similarity threshold, as a new target image; and the fourth image is an image, in the face image library, of which the face similarity with the first image to be confirmed exceeds the face similarity threshold value.

In combination with any one of the embodiments of the present application, the obtaining unit is configured to:

In combination with any one of the embodiments of the present application, the obtaining unit is further configured to obtain a second video stream to be processed before the performing the human body searching task; the second video stream to be processed comprises the first video stream to be processed and a video stream acquired by a human body camera;

the object finding apparatus further includes: and the storage unit is used for storing the images in the second video stream to be processed into the database.

In combination with any of the embodiments of the present application, the at least one target image includes a fifth image, and the apparatus further includes:

the intercepting unit is used for intercepting a video stream to be displayed containing the fifth image from the video stream to be processed under the condition that a video viewing request for the fifth image sent by the second terminal is received;

and the sending unit is used for sending the video stream to be displayed to the second terminal.

In a third aspect, a processor is provided for performing the method of the first aspect and any one of its possible implementation manners described above.

In a fourth aspect, there is provided an electronic device comprising: a processor, transmission means, input means, output means and memory for storing computer program code comprising computer instructions which, when executed by the processor, cause the electronic device to carry out the method as described in the first aspect and any one of its possible implementations.

In a fifth aspect, there is provided a computer readable storage medium having stored therein a computer program comprising program instructions which, when executed by a processor, cause the processor to carry out a method as in the first aspect and any one of its possible implementations.

In a sixth aspect, a computer program product is provided, the computer program product comprising a computer program or instructions which, when run on a computer, cause the computer to perform the method of the first aspect and any one of the possible implementations thereof.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

In order to more clearly describe the technical solutions in the embodiments or the background of the present application, the following description will describe the drawings that are required to be used in the embodiments or the background of the present application.

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and, together with the description, serve to explain the technical aspects of the application.

Fig. 1 is a flow chart of a suspicious object searching method according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of an object searching device according to an embodiment of the present application;

fig. 3 is a schematic hardware structure of an object searching device according to an embodiment of the present application.

Detailed Description

In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.

The terms first, second and the like in the description and in the claims of the present application and in the above-described figures, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

In the security field, related personnel can search for suspicious objects through identity information (such as photos of the suspicious objects) under the condition of determining the identity information of the suspicious objects. With the increase of the monitoring cameras, related personnel can search the suspicious objects based on the identity information of the suspicious objects and the monitoring cameras.

In the existing suspicious object searching method, the suspicious object is searched by comparing the face image of the suspicious object with the face image acquired by the monitoring camera (i.e. the face image of the suspicious object is used as a searching basis to search the suspicious object). Because the accuracy of the face comparison is positively correlated with the image quality of the face image, the accuracy of the face comparison is low under the condition that the quality of the face image acquired by the monitoring camera is low, and therefore the searching effect is poor. The low quality face image includes at least one of the following: the face area in the face image is unclear, the face area in the face image is incomplete, and the face area in the face image is blocked.

In order to improve the accuracy of face comparison, the quality of the face image used for face comparison needs to exceed a quality threshold. The quality of the face image mainly depends on the monitoring cameras for collecting the face image, and the quantity of the monitoring cameras, which are installed in public places at present, of the face images is smaller than that of the monitoring cameras with quality exceeding a quality threshold. This results in poor results in the current suspicious object search methods. The value of the quality threshold can be determined according to actual requirements, specifically, the larger the value of the quality threshold is, the higher the accuracy of face comparison is, but the higher the requirement on hardware configuration of a monitoring camera for collecting face images is.

For example, the area a can be divided into three areas a, b and c, wherein the quality of the face image collected by the monitoring camera in the area a exceeds the quality threshold, the quality of the face image collected by the monitoring camera in the area b does not exceed the quality threshold, and the quality of the face image collected by the monitoring camera in the area c exceeds the quality threshold. In the process that the related personnel in the area A uses the face image of the suspicious object as a searching basis to search the suspicious object, if the suspicious object is in the area b, the related personnel in the area A cannot learn the track of the suspicious object.

Based on the above, the embodiment of the application provides a technical scheme to improve the searching effect. Embodiments of the present application are described below with reference to the accompanying drawings in the embodiments of the present application.

For convenience of description, hereinafter, a camera whose quality of the collected face image exceeds a quality threshold is referred to as a face camera, and a camera whose quality of the collected face image does not exceed the quality threshold is referred to as a body camera.

The execution subject of the embodiment of the application is an object searching device. The optional object finding means may be one of the following: server, computer. Referring to fig. 1, fig. 1 is a flowchart of a suspicious object searching method according to an embodiment of the present application.

101. And acquiring a first image to be confirmed and a face image library.

In this embodiment of the present application, the first image to be confirmed is an image containing arbitrary content. Optionally, the first image to be confirmed is an image acquired by a face camera.

In one implementation of acquiring the first image to be confirmed, the object lookup device receives the first image to be confirmed input by a user through the input component. The input assembly includes: a keyboard, a mouse, a touch screen, a touch pad, an audio input device, and the like.

In another implementation manner of acquiring the first image to be confirmed, the object searching device receives the first image to be confirmed sent by the first control terminal. Alternatively, the first control terminal may be any one of the following: cell phone, computer, tablet computer, server, wearable equipment.

In the embodiment of the application, the face image library contains face images of suspicious objects. For example, the face image library contains Zhang three face images, and in this case, the suspicious object is Zhang three. For another example, the related person may want to search for the suspicious object in the B-land, and may store the face image of the suspicious object in the B-land in the face image library.

It should be appreciated that the face image library may contain face images of at least one suspicious object. For example, the face image includes an image a and an image b, wherein the image a is a three-face image and the image b is a four-face image, and at this time, the face image library includes face images of two suspicious objects.

In one implementation of acquiring a face image library, an object lookup device receives a face image library input by a user through an input component. The input assembly includes: a keyboard, a mouse, a touch screen, a touch pad, an audio input device, and the like.

In another implementation manner of obtaining the face image library, the object searching device receives the face image library sent by the second control terminal. Alternatively, the second control terminal may be any one of the following: cell phone, computer, tablet computer, server, wearable equipment. The second control terminal may be the same as or different from the first control terminal.

102. And executing a human body searching task under the condition that the fact that the human face similarity between the human face image library and the first image to be confirmed exceeds a human face similarity threshold value is determined, and the fact that the first image to be confirmed contains the human body of the suspicious object is determined.

In the embodiment of the application, the face similarity refers to the similarity between faces in two images. For example, image a contains a face a and image B contains a face B. The face similarity between the image a and the image B refers to the similarity between the face a and the face B. For another example, image a contains a face a and a face B, and image B contains a face c. The face similarity between image a and image B includes: similarity between face a and face c, similarity between face b and face c.

The face similarity exceeds a face similarity threshold, and the characters corresponding to the two faces are represented as the same person. For example, the face similarity between the image a and the image B is the similarity between the face a and the face B. If the face similarity between the image A and the image B exceeds the face similarity threshold, the person corresponding to the face a and the person corresponding to the face B are the same person. For another example, the face similarity between image a and image B includes: similarity between face a and face c, similarity between face b and face c. If the similarity between the face a and the face c exceeds the face similarity threshold, the person corresponding to the face a and the person corresponding to the face c are the same person. If the similarity between the face b and the face c exceeds the face similarity threshold, the person corresponding to the face b and the person corresponding to the face c are the same person.

The object searching device can determine whether an image with the face similarity exceeding a face similarity threshold value exists in the face image library or not by comparing the first image to be confirmed with the images in the face image library, and further can determine that the first image to be confirmed contains suspicious objects. For example, the face image library contains face images of suspicious objects, and if the face image library contains images with the face similarity exceeding the face similarity threshold value with the first image to be confirmed, the first image to be confirmed is characterized to contain the suspicious objects.

Because the human face similarity of the two images is obtained by comparing the human faces of the two images, the number of the human face cameras is less than that of the human body cameras, and the monitoring range of the human face cameras is less than that of the human body cameras. Because the images in the face image library may not include a human body (in this embodiment, the human body includes a body other than a human head), when it is determined that the first image to be confirmed includes a human body, the first image to be confirmed may be compared with the image acquired by the human body camera, and the search range may be enlarged by using the image acquired by the human body camera.

In one possible implementation manner, the object searching device obtains feature data carrying semantic information of the first image to be confirmed by performing feature extraction processing on the first image to be confirmed. The object searching device can determine whether the first image to be confirmed contains a human body or not according to the information carried by the characteristic data.

It should be understood that, in the case where the first image to be confirmed includes at least two faces, if a face whose similarity between the first image to be confirmed and a face image in the face image library exceeds a face similarity threshold is referred to as a target face, the object searching device compares the first image to be confirmed with an image acquired by the human camera when it is determined that the first image to be confirmed includes a human body corresponding to the target face (i.e., a human body including a suspicious object).

For example, assume that the first image to be confirmed contains a face a and a face b, and the face image library contains an image a, wherein the image a and the face b contain only one face. If the face similarity between the face a and the image A exceeds the face similarity threshold, the face similarity between the face b and the image A does not exceed the face similarity threshold, and the face a is the target face. If the person corresponding to the face a is called Zhang san. And under the condition that the object searching device determines that the first image to be confirmed contains the human body with the third size, comparing the first image to be confirmed with the image acquired by the human body camera.

Although the images acquired by the human body cameras cannot meet the requirement of human face comparison (namely, the image quality does not exceed the quality threshold), the images can be used for human body comparison, wherein the human body comparison refers to the determination of the similarity between the human body characteristic data of the two images. Therefore, under the condition that the face similarity between the face image library and the first image to be confirmed exceeds the face similarity threshold value and the first image to be confirmed contains the human body corresponding to the target face, the object searching device can further search based on the image acquired by the human body camera and the first image to be confirmed so as to expand the searching range and further improve the searching effect.

Based on the above, the object searching device performs searching based on the first to-be-confirmed image under the condition that the image with the similarity of the face between the first to-be-confirmed image and the first to-be-confirmed image exceeding the threshold value of the similarity of the face exists in the face image library and the first to-be-confirmed image is determined to contain the human body corresponding to the target face, namely, performs a human body searching task. In the embodiment of the application, the object searching device executes the following steps in the process of executing the human body searching task: 1. and comparing the first image to be confirmed with the images in the database to obtain at least one image with the similarity exceeding a human similarity threshold value between the first image to be confirmed and the images, and taking the at least one image as at least one target image.

In this embodiment of the present application, the database includes images acquired by the human body camera. It should be understood that the database contains images acquired by the body cameras and the database contains images acquired by the face cameras. Human body comparison refers to determining whether people in two images are the same person by calculating the similarity between human body feature vectors of the two images. Because the human body feature vectors carry the identity information of the people in the images, the similarity between the human body feature vectors of the two images exceeds a human body similarity threshold value, and the people in the two images are represented as the same person.

For example, the human feature vector extracted from the image 1 is a, the human feature vector extracted from the image 2 is b, and when the similarity between the human feature vector a and the human feature vector b exceeds the human similarity threshold, it is determined that the person in the image 1 and the person in the image 2 are the same person.

The identity information of the person carried by the human body feature vector comprises: apparel attributes, appearance characteristics, and variation characteristics of the character. The apparel attributes include at least one of the characteristics of all items that decorate the human body (e.g., coat color, pants length, hat style, shoe color, not-to-umbrella, case type, mask or not, mask color). The appearance characteristics include body type, sex, hairstyle, color, age group, whether to wear glasses, whether to hold things in front of the chest. The variation characteristics include: posture, stride.

For example, categories of coat color or pant color or shoe color or hair color include: black, white, red, orange, yellow, green, blue, violet, brown. The categories of pant lengths include: trousers, shorts and skirts. The categories of hat styles include: hat-free, billiard, cricket, peaked, fisher cap, bailey cap, top hat. Categories of not-to-open umbrella include: umbrella opening and non-umbrella opening. The categories of hairstyles include: cape long hair, short hair, optical head and baldness. The gesture categories include: riding posture, standing posture, walking posture, running posture, sleeping posture and lying posture. Stride refers to the stride size of a person walking, which may be represented by a distance, such as: 0.3 meter, 0.4 meter, 0.5 meter, 0.6 meter.

The object searching device compares the first image to be confirmed with the images in the database in human body, determines at least one image with the similarity exceeding a human body similarity threshold value between the first image to be confirmed and the images, and obtains at least one target image containing suspicious objects. Because the database contains the image acquired by the human body camera, and the monitoring range of the human body camera is larger than that of the human face camera, the object searching device can expand the searching range by executing the human body searching task, and further the searching effect is improved.

When searching is performed based on the first image to be confirmed of the suspicious object, by implementing the technical scheme provided by the embodiment of the application, the image acquired by the face camera can be used for searching, and the image acquired by the human body camera can also be used for searching. Because the accuracy of the face comparison is higher than that of the human body comparison, the object searching device can search the images acquired by the human body camera on the premise of not reducing the searching accuracy by using the first image to be confirmed as the basis of the human body searching task under the condition that the first image to be confirmed contains the human face in the face image library and the first image to be confirmed contains the human body corresponding to the human face in the face image library by comparing the first image to be confirmed with the images in the face image library, so that the searching range is enlarged and the searching effect is improved.

As an alternative embodiment, the object finding means further performs the following steps before performing the human body finding task:

2. and acquiring the human body searching time.

Because the identity information of the person carried by the human body feature vector has timeliness, an effective time length, namely a human body searching time length, can be set for a human body searching task to further improve searching accuracy. For example, in the first image to be confirmed, the suspicious object looks like a white coat, but the suspicious object may change the coat to black after leaving the place in the first image to be confirmed. At this time, if the suspicious object is searched by using the first image to be confirmed, the searching accuracy and searching efficiency will be reduced.

In one implementation of obtaining a human body search duration, an object search device receives a human body search duration input by a user through an input component. The input assembly includes: a keyboard, a mouse, a touch screen, a touch pad, an audio input device, and the like.

In another implementation manner of obtaining the human body searching duration, the object searching device receives the human body searching duration sent by the second control terminal. Alternatively, the second control terminal may be any one of the following: cell phone, computer, tablet computer, server, wearable equipment. Alternatively, the second control terminal may be the same as or different from the first control terminal.

After acquiring the human body searching duration, the object searching device executes the following steps in the process of executing the step 1:

3. and in the human body searching time period, comparing the first image to be confirmed with the images in the database to obtain at least one image with the similarity exceeding the human body similarity threshold value between the first image to be confirmed and the image to be confirmed, and taking the at least one image as the at least one target image.

In the embodiment of the present application, the start time of the human body searching time period is the start time of the object searching device executing the human body searching task, and the duration of the human body searching time period is the human body searching duration.

For example, the object searching apparatus starts performing the human body searching task at 10:45:30 seconds at 7:8:8 in 2020 by executing step 102, and at this time, the start time of the human body searching period is 10:45:30 seconds at 7:8 in 2020. The length of the human body searching time period is 1 hour if the human body searching time period is 1 hour, and at this time, the human body searching time period is 45 minutes 30 seconds from 7, 8, 10, 45 minutes 30 seconds at 8, 11, 45 minutes 30 seconds at 7, 8, 11, 2020.

In the embodiment of the application, the object searching device executes the human body searching task in the human body searching time period, so that the accuracy of human body searching can be improved.

4. and acquiring a human body searching range.

Because the moving distance of the suspicious object in the human body searching time is not too far, a searching range, namely a human body searching range, can be set for the human body searching task in order to improve the searching efficiency and the searching accuracy. For example, the human body searching range may be a circular area with the position of the camera for collecting the first image to be confirmed as the center of a circle and 1 km as the radius.

In one implementation of obtaining a human body search range, an object search device receives a human body search range input by a user through an input component. The input assembly includes: a keyboard, a mouse, a touch screen, a touch pad, an audio input device, and the like.

In another implementation manner of obtaining the human body searching range, the object searching device receives the human body searching range sent by the third control terminal. Optionally, the third control terminal may be any one of the following: cell phone, computer, tablet computer, server, wearable equipment. Optionally, the third control terminal may be the same as or different from the first control terminal.

After acquiring the human body searching range, the object searching device executes the following steps in the process of executing the step 3:

5. and in the human body searching time period, comparing the first image to be confirmed with the image with the acquisition position in the human body searching range to obtain at least one image with the similarity exceeding the human body similarity threshold value between the first image to be confirmed and the image, and taking the at least one image as the at least one target image.

Since the position of the monitoring camera is determined, the acquisition position information carried by the image in the database is also determined. For example, the image a is acquired by the monitoring camera a, the position of the monitoring camera a is 116.25 degrees east longitude and 39.55 degrees north latitude, and at this time, the acquired position information carried by the image a is 116.25 degrees east longitude and 39.55 degrees north latitude. For another example, the acquisition position information carried by the image a is a monitoring camera No. 1.

In one possible implementation manner, in the process of executing the human body searching task, the object searching device compares the first image to be confirmed with the image with the acquisition position information in the human body searching range, and obtains at least one image with the similarity exceeding the human body similarity threshold value between the first image to be confirmed and the image, as at least one target image.

In another possible implementation manner, in the process of executing the human body searching task, the object searching device compares the image acquired by the monitoring camera located in the human body searching range with the first image to be confirmed in human body, and obtains at least one image with the similarity exceeding the human body similarity threshold value between the image to be confirmed and the first image to be confirmed as at least one target image.

In the embodiment of the application, the object searching device executes the human body searching task in the human body searching range, so that the accuracy of human body searching can be further improved, and the searching efficiency is improved.

Before proceeding with the following explanation, the human body comparison processing and the face comparison processing are defined first. In this embodiment of the present application, the one-time human body comparison processing refers to that the object searching device completes human body comparison of the search image (including the above-mentioned first image to be confirmed and the second image to be confirmed to be mentioned later) and the image whose acquisition position is located in the search range in the database. For example, the object searching apparatus performs the human body comparison processing at 14 th 7 th 9 th 2020 for 36 minutes and 30 seconds. Assuming that 14 points from 7 to 9 in 2020 are 36 minutes and 30 seconds, the collection of images in the database with positions within the search range includes: the object searching device performs human body comparison processing once under the condition that the object searching device performs human body comparison on the first image to be confirmed and the image a, the image b and the image c respectively, and obtains human body similarity between the first image to be confirmed and the image a, human body similarity between the first image to be confirmed and the image b and human body similarity between the first image to be confirmed and the image c.

In the embodiment of the application, the primary face comparison processing refers to the object searching device completing face comparison of the reference face image and the image in the database. For example, the object searching apparatus performs face comparison processing at 14 th 7 th 9 th 2020 for 40 minutes and 30 seconds. Assuming 40 minutes and 30 seconds from 14 th 7 th 9 th 2020, the images in the database include: the object searching device is used for carrying out one-time face comparison processing under the condition that the object searching device is used for carrying out face comparison on the reference face image and the image a, the image b and the image c respectively and obtaining the face similarity between the reference face image and the image a, the face similarity between the reference face image and the image b and the face similarity between the reference face image and the image c.

As an alternative embodiment, the object finding means further performs the following steps before performing the human body finding task: 6. and obtaining the human body comparison time interval.

The camera acquires images through the video stream, and the video stream acquired by the camera is in a continuous state, so that the images in the database are continuously increased. Considering that the moving distance of the suspicious object is relatively short, if the object searching device performs the step of comparing the first image to be confirmed with the image with the acquisition position in the human searching range continuously in the human searching time period, the searching efficiency will be reduced.

Therefore, in the embodiment of the application, the object searching device completes the human body searching task by executing the human body comparison processing at least once in the human body searching time period, and a time interval exists between any two human body comparison processing, so that the data processing capacity of the object searching device is reduced, and the searching efficiency of the object searching device is improved.

For example, the human body search time period is 45 minutes 30 seconds from 7, 8, 10, and 45 minutes 30 seconds to 11, 7, 8, and 45 minutes 30 seconds in 2020. The time of the first human body comparison processing executed by the object searching device in the human body searching time period is as follows: the time of the second human body comparison processing executed by the object searching device in the human body searching time period from the time of 10 points 45 minutes 30 seconds at 7.8.8 in 2020 to the time of 10 points 45 minutes 50 seconds at 7.8 in 2020 is: 10 th day of 7 months 2020 is 45 minutes 55 seconds to 10 th day of 7 months of 2020 is 46 minutes 05 seconds. The time interval between the first human body comparison and the second human body comparison is 5 seconds.

In the embodiment of the application, the human body comparison time interval can be determined according to actual requirements. Optionally, the human alignment time interval is 3 seconds.

In one implementation of obtaining human body alignment time intervals, an object lookup device receives human body alignment time intervals input by a user through an input component. The input assembly includes: a keyboard, a mouse, a touch screen, a touch pad, an audio input device, and the like.

In another implementation manner of obtaining the human body comparison time interval, the object searching device receives the human body comparison time interval sent by the fourth control terminal. Optionally, the fourth control terminal may be any one of the following: cell phone, computer, tablet computer, server, wearable equipment. Optionally, the fourth control terminal may be the same as or different from the first control terminal.

In order to facilitate related personnel to timely master the track information of the suspicious object, the object searching device can send the target image to the first terminal after the target image is obtained by executing human body comparison processing. Thus, the related personnel can grasp the track information of the suspicious object through the target image displayed by the first terminal.

In the case where the object searching apparatus obtains a larger number of target images by performing the human body comparison processing at a time, it takes a longer time for the object searching apparatus to successfully transmit all the target images to the first terminal, and the human body comparison time interval is shorter. This may occur in a case where the target image obtained by performing the current human body comparison process is not successfully transmitted to the first terminal, the target image obtained by performing the next human body comparison process is successfully transmitted to the first terminal. In this way, in the process of displaying the target images, the sequence of displaying the target images by the first terminal is not matched with the acquisition time of the target images.

For example, the current human body comparison processing is performed for 45 minutes 30 seconds from 10 points of 7 months and 8 days in 2020 to 10 points of 45 minutes 50 seconds from 7 months and 8 days in 2020, and the next human body comparison processing is performed for the following time: 10 points 45 minutes 52 seconds in 7.8.2020 to 10 points 45 minutes 57 seconds in 7.8.2020. The target image obtained by the object searching device through executing the current human body comparison processing comprises the following steps: image a, image b, image c, image d, image e, and image f. The object searching device obtains a target image by executing next human body comparison processing, and the target image comprises: and (g) an image. The object searching means starts transmitting the target image obtained by performing the current human body comparison process to the first terminal from the point of 10 minutes 45 minutes 50 seconds at 7.8.8 in 2020, and has successfully transmitted the image a, the image b, the image c, and the image d to the first terminal at the point of 10 minutes 45 minutes 57 seconds at 8.8 in 2020. The object searching means starts transmitting the target image obtained by performing the current human body comparison processing to the first terminal from the point of 10 minutes 45 minutes 57 seconds at 7.8.8.2020, and successfully transmits the image e and the image g to the first terminal at the point of 10 minutes 45 minutes 57 seconds at 7.8.2020, while the image f has not yet transmitted the image f to the first terminal. This will result in the first terminal presenting image g before presenting image f, which is acquired earlier than image g.

In order to avoid the above, in the case where the human body comparison process performed by the object searching apparatus in the human body comparison time period exceeds 1, after the human body comparison time interval is acquired, the object searching apparatus performs the following steps in the process of performing step 5:

7. and comparing the first image to be confirmed with the image with the acquisition position in the human body searching range to obtain an image with the similarity exceeding the human body similarity threshold value between the first image to be confirmed and the image with the acquisition position in the human body searching range, and taking the image as a first image.

In this embodiment of the present application, step 7 is a first human body comparison process performed by the object searching device during a human body comparison time period, that is, step 7 is performed when the object searching device starts from a start time of the human body searching time period, and the first image obtained by performing step 7 is a target image, that is, the first image belongs to at least one target image.

8. And acquiring at least one third image with the acquisition position within the human body searching range after the starting time of the searching time period.

If the starting time of the searching time period is reached, the image in the searching range of the human body in the database is called a first image to be compared. The newly added image in the database located in the human body searching range after the starting time of the searching time period is called a second image to be compared. The object searching device performs step 7 to perform human body comparison on the first image to be confirmed and the first image to be compared, and the second image to be compared is an image which is not subjected to human body comparison with the first image to be confirmed. That is, in the case that the object searching device performs the step 7, at least one third image is an image that is not compared with the first image to be confirmed.

In one implementation of acquiring at least one third image, the object-finding apparatus receives the at least one third image input by the user through the input component. The input assembly includes: a keyboard, a mouse, a touch screen, a touch pad, an audio input device, and the like.

In another implementation manner of acquiring the at least one third image, the object searching device receives the at least one third image sent by the fifth control terminal. Optionally, the fifth control terminal may be any one of the following: cell phone, computer, tablet computer, server, wearable equipment. Optionally, the fifth control terminal may be the same as or different from the first control terminal.

9. And under the condition that the sum of the length of the human body comparison time interval and the length of the human body search time interval is smaller than the human body search time interval and the first image is successfully transmitted to the first terminal in the human body interval time interval, comparing the first image to be confirmed with the at least one third image to obtain an image, of which the similarity between the at least one third image and the first image to be confirmed exceeds the human body similarity threshold, as the second image.

In this embodiment of the present invention, the length of time consumed by the object searching device for human body comparison to perform the first human body comparison processing, that is, the length of time from the start time of the human body searching time period to the time when the human body comparison is performed to the time when the first image is obtained.

The sum of the human body comparison time interval and the human body comparison time length is smaller than the human body searching time length representation, and the object searching device can execute human body comparison processing (hereinafter referred to as second human body comparison processing) once again after executing the step 7. In the process of executing the second human body comparison processing, the object searching device compares the first image to be confirmed with at least one third image to determine an image with the similarity exceeding the human body similarity threshold value from the at least one third image.

Under the condition that the object searching device is determined to successfully send the target image obtained through the first human body comparison to the first terminal, the second human body comparison processing is executed, and the situation that the sequence of the target image displayed by the first terminal is not matched with the acquisition time of the target image can be avoided.

Therefore, the object searching device compares the first image to be confirmed with at least one third image to obtain a target image (i.e. a second image) with the similarity between the at least one third image and the first image to be confirmed exceeding the human similarity threshold value under the condition that the first image is successfully sent to the first terminal in the human interval time period, namely, in the steps 7 to 9, the at least one target image comprises the first image and the second image.

It should be understood that only the first human body comparison process and the second human body comparison process are described in step 7 and step 9, and in practical application, the number of human body comparison processes performed by the object searching device in the searching time period may exceed 2.

As an alternative implementation manner, in order to make the relevant personnel know the trace of the suspicious object in time, in the case that at least one target image is obtained by performing the above steps, the object searching device may send a first alarm instruction containing at least one target image to the second terminal, where the first alarm instruction is used to instruct the second terminal to display at least one target image. In this way, the related personnel can acquire the track of the suspicious object through the second terminal, and then find the suspicious object. The first terminal and the second terminal may be the same or different, and the present application is not limited thereto.

As an alternative embodiment, after retrieving the database using the first to-be-confirmed image, the first to-be-confirmed image having the feature data matching the first to-be-confirmed image is obtained, and before performing the human body searching task, the object searching apparatus further performs the steps of:

10. and acquiring a second image to be confirmed.

In this embodiment of the present application, the acquisition position of the second image to be confirmed may be within the search range, and the acquisition position of the second image to be confirmed may also be outside the search range. Optionally, the second image to be confirmed is an image acquired by a face camera.

In one implementation of acquiring the second image to be confirmed, the object searching device receives the second image to be confirmed input by the user through the input component. The input assembly includes: a keyboard, a mouse, a touch screen, a touch pad, an audio input device, and the like.

In another implementation manner of acquiring the second image to be confirmed, the object searching device receives the second image to be confirmed sent by the sixth control terminal. Alternatively, the sixth control terminal may be any one of the following: cell phone, computer, tablet computer, server, wearable equipment. Alternatively, the sixth control terminal may be the same as or different from the first control terminal.

11. And stopping executing the human body searching task when the face similarity between the fourth image and the second image to be confirmed exceeds the face similarity threshold value and the second image to be confirmed contains a human body, and comparing the second image to be confirmed with the images in the database to obtain an image with the similarity exceeding the human body similarity threshold value as a new target image.

In the embodiment of the present application, the face similarity between the fourth image and the first image to be confirmed in the face image library exceeds the face similarity threshold. For example, the face image library contains an image a and an image b. The face similarity between the first image to be confirmed and the image a exceeds a face similarity threshold, and the face similarity threshold between the first image to be confirmed and the image b does not exceed the face similarity threshold. Then image a is the fourth image.

If the object searching device determines that the face similarity between the second image to be confirmed and the fourth image exceeds the face similarity threshold, the object searching device characterizes that the second image to be confirmed and the fourth image contain the same person, namely the first image to be confirmed and the second image to be confirmed both contain suspicious objects. Since the acquisition position of the second image to be confirmed is different from the acquisition position of the first image to be confirmed, the position of the suspicious object has been changed.

In order to improve the searching efficiency and the searching accuracy, under the condition that the face similarity between the fourth image and the second image to be confirmed exceeds a face similarity threshold value and the second image to be confirmed contains the human body of the suspicious object, stopping executing the human body searching task, and comparing the second image to be confirmed with the images in the database to obtain an image with the similarity exceeding the human body similarity threshold value as a new target image.

Optionally, the human search task in the embodiment of the present application refers to a search task (hereinafter, will be referred to as a first search task) established based on the first image to be confirmed. After the second image to be confirmed is obtained, the object searching device stops executing the searching task established based on the first image to be confirmed, and executes the searching task established based on the second image to be confirmed (hereinafter referred to as a second searching task) to obtain a new target image.

Optionally, the search range of the second search task is the same as the search range of the first search task, the search duration of the second search task is the same as the search duration of the first search task, and the human body comparison time interval of the second search task is the same as the human body comparison time interval of the first search task.

In order to enable related personnel to know the trace of the suspicious object in time, when the face similarity between the fourth image and the second image to be confirmed exceeds the face similarity threshold value and the second image to be confirmed is determined to contain a human body, the object searching device can send a second warning instruction containing the first image to be confirmed to the second terminal, and the second warning instruction is used for indicating the second terminal to display the first image to be confirmed. In this way, the related personnel can acquire the track of the suspicious object through the second terminal, and then find the suspicious object.

As an alternative embodiment, the object finding means performs the following steps in performing step 101:

12. a first video stream to be processed is acquired.

In this step, the object searching device is in communication connection with the face camera. The object finding means may obtain the first video stream to be processed from the face camera via the communication connection. For example, if there is communication connection between the object searching device and the face camera in the area a, the object searching device may acquire the video stream acquired by the face camera in the area a.

13. And intercepting a frame of image from the first video stream to be processed as the first image to be confirmed.

The object searching device can determine whether the suspicious object appears in the range monitored by the face camera by comparing the image in the first video stream to be processed with the image in the face image library. For example, the first video stream to be processed is acquired by a face camera in region a. The object searching device can determine whether the suspicious object exists in the area A by comparing the image in the first video stream to be processed with the face image of the suspicious object (namely, the image in the face image library).

Optionally, the object searching device intercepts any frame of image from the first video stream to be processed as the first image to be confirmed.

14. and obtaining a second video stream to be processed.

In the step, the object searching device is also in communication connection with the human body camera. The object searching device can acquire the video stream acquired by the human body camera from the human body camera through the communication connection. For example, if there is a communication connection between the object searching device and the body camera in the area a, the object searching device may acquire the video stream acquired by the body camera in the area a.

In this embodiment of the present application, the second video stream to be processed includes a first video stream to be processed and a video stream acquired by a human camera.

15. And storing the images in the second video stream to be processed into the database.

The object searching device stores the image in the second video stream to be processed into the database, so that the human body searching can be carried out on the range monitored by the face camera and the range monitored by the human body camera. For example, the second video stream to be processed includes a video stream collected by a face camera in the area a and a video stream collected by a body camera in the area a. And in the process of executing the human body searching task by the object searching device, comparing the first image to be confirmed with the image in the second video stream to be processed to determine whether the suspicious object appears in the area A.

It should be appreciated that, since the requirement of the face comparison for the image quality is higher than that of the human body comparison, in step 13, the object searching apparatus performs the face comparison between the face image of the suspicious object and the image in the first video stream to be processed, and some images containing the suspicious object may be omitted.

For example (example 1), the first video stream to be processed contains image a, image b, and image c. The object searching device determines that the face similarity between the face image of the suspicious object and the image a exceeds a face similarity threshold. But since the image quality of image b is below the quality threshold, the object finding means determines that the face similarity between the face image of the suspicious object and image b does not exceed the face similarity threshold.

Under the condition that the missed images containing the suspicious objects contain the human bodies of the suspicious objects, the object searching device can find out the missed images containing the suspicious objects by executing the step 15, so that the searching effect is improved. For example, in example 1, if the image b includes the human body of the suspicious object, the object search device determines that the image b includes the suspicious object by taking the image a as the first image to be confirmed in the process of executing step 15, and determining that the human body similarity between the image a and the image b exceeds the human body similarity threshold.

As an alternative embodiment, the at least one target image comprises a fifth image, and the object finding means further performs the following steps after obtaining the at least one target image:

16. and under the condition that a video viewing request for the fifth image sent by the second terminal is received, intercepting a video stream to be displayed containing the fifth image from the video stream to be processed.

To further confirm the whereabouts of the suspicious object, the associated person may send a request to view the video containing the suspicious object to the object lookup apparatus via the second terminal.

And the object searching device intercepts a video stream to be displayed containing the fifth image from the video streams to be processed under the condition of receiving a video viewing request for the fifth image sent by the second terminal. It should be understood that the playing duration of the video stream to be displayed may be determined according to actual requirements, which is not limited in this application.

17. And sending the video stream to be displayed to the second terminal.

The object searching device sends the video stream to be displayed to the second terminal, so that the second terminal can display the video stream to be displayed to related personnel, and the related personnel can acquire the track information of more suspicious objects.

It will be appreciated by those skilled in the art that in the above-described method of the specific embodiments, the written order of steps is not meant to imply a strict order of execution but rather should be construed according to the function and possibly inherent logic of the steps.

The foregoing details the method of embodiments of the present application, and the apparatus of embodiments of the present application is provided below.

Referring to fig. 2, fig. 2 is a schematic structural diagram of an object searching apparatus according to an embodiment of the present application, where the apparatus 1 includes: acquisition unit 11, processing unit 12, storage unit 13, interception unit 14, and transmission unit 15, wherein:

an acquiring unit 11, configured to acquire a first image to be confirmed and a face image library including face images of suspicious objects;

a processing unit 12, configured to perform a human body searching task when it is determined that an image with a human face similarity between the human face image library and the first image to be confirmed exceeding a human face similarity threshold exists, and it is determined that the first image to be confirmed contains a human body of the suspicious object;

In combination with any one of the embodiments of the present application, the obtaining unit 11 is further configured to obtain a human body searching duration before the performing the human body searching task;

In combination with any one of the embodiments of the present application, the obtaining unit 11 is further configured to obtain a human body searching range before the performing the human body searching task;

the acquiring unit 11 is further configured to acquire a human body comparison time interval before the human body searching task is performed;

In combination with any one of the embodiments of the present application, the obtaining unit 11 is further configured to obtain, after the first to-be-confirmed image having feature data matching the first to-be-confirmed image is obtained by using the first to-be-confirmed image retrieval database, a second to-be-confirmed image before the performing of the human body search task; the acquisition position of the second image to be confirmed is different from the acquisition position of the first image to be confirmed;

The processing unit 12 is further configured to, when it is determined that the face similarity between the fourth image and the second image to be confirmed exceeds the face similarity threshold, and it is determined that the second image to be confirmed includes a human body, stop executing the human body searching task, and compare the second image to be confirmed with the images in the database to obtain an image with a similarity between the second image to be confirmed and the image exceeding the human body similarity threshold, as a new target image; and the fourth image is an image, in the face image library, of which the face similarity with the first image to be confirmed exceeds the face similarity threshold value.

In combination with any one of the embodiments of the present application, the obtaining unit 11 is configured to:

In combination with any one of the embodiments of the present application, the obtaining unit 11 is further configured to obtain a second video stream to be processed before the performing the human body searching task; the second video stream to be processed comprises the first video stream to be processed and a video stream acquired by a human body camera;

The object finding apparatus further includes: a storage unit 13, configured to store the image in the second video stream to be processed into the database.

an intercepting unit 14, configured to intercept a video stream to be displayed including the fifth image from the video stream to be processed, in the case of receiving a video viewing request for the fifth image sent by the second terminal;

and the sending unit 15 is used for sending the video stream to be displayed to the second terminal.

In some embodiments, functions or modules included in the apparatus provided in the embodiments of the present application may be used to perform the methods described in the foregoing method embodiments, and specific implementations thereof may refer to descriptions of the foregoing method embodiments, which are not repeated herein for brevity.

Fig. 3 is a schematic hardware structure of an object searching device according to an embodiment of the present application. The object finding means 2 comprise a processor 21, a memory 22, input means 23, output means 24. The processor 21, memory 22, input device 23, and output device 24 are coupled by connectors, including various interfaces, transmission lines or buses, etc., as not limited in this application. It should be understood that in various embodiments of the present application, coupled is intended to mean interconnected by a particular means, including directly or indirectly through other devices, e.g., through various interfaces, transmission lines, buses, etc.

The processor 21 may be one or more graphics processors (graphics processing unit, GPUs), which may be single-core GPUs or multi-core GPUs in the case where the processor 21 is a GPU. Alternatively, the processor 21 may be a processor group formed by a plurality of GPUs, and the plurality of processors are coupled to each other through one or more buses. In the alternative, the processor may be another type of processor, and the embodiment of the present application is not limited.

Memory 22 may be used to store computer program instructions as well as various types of computer program code for performing aspects of the present application. Optionally, the memory includes, but is not limited to, a random access memory (random access memory, RAM), a read-only memory (ROM), an erasable programmable read-only memory (erasable programmable read only memory, EPROM), or a portable read-only memory (compact disc read-only memory, CD-ROM) for associated instructions and data.

The input means 23 are for inputting data and/or signals and the output means 24 are for outputting data and/or signals. The input device 23 and the output device 24 may be separate devices or may be an integral device.

It will be appreciated that, in the embodiment of the present application, the memory 22 may be used to store not only related instructions, but also related data, for example, the memory 22 may be used to store a first image to be confirmed acquired through the input device 23, or the memory 22 may also be used to store at least one target image obtained through the processor 21, etc., and the embodiment of the present application is not limited to the data specifically stored in the memory.

It will be appreciated that figure 3 shows only a simplified design of an object finding apparatus. In practical applications, the object searching device may also include other necessary elements, including but not limited to any number of input/output devices, processors, memories, etc., and all object searching devices that can implement the embodiments of the present application are within the scope of protection of the present application.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein. It will be further apparent to those skilled in the art that the descriptions of the various embodiments herein are provided with emphasis, and that the same or similar parts may not be explicitly described in different embodiments for the sake of convenience and brevity of description, and thus, parts not described in one embodiment or in detail may be referred to in the description of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted across a computer-readable storage medium. The computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a digital versatile disk (digital versatile disc, DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.

Those of ordinary skill in the art will appreciate that implementing all or part of the above-described method embodiments may be accomplished by a computer program to instruct related hardware, the program may be stored in a computer readable storage medium, and the program may include the above-described method embodiments when executed. And the aforementioned storage medium includes: a read-only memory (ROM) or a random access memory (random access memory, RAM), a magnetic disk or an optical disk, or the like.

Claims

1. A method of suspicious object lookup, the method comprising:

the human body searching task comprises the following steps: comparing the first image to be confirmed with images in a database to obtain at least one image with similarity exceeding a human similarity threshold value between the first image to be confirmed and the images in the database, and taking the at least one image as at least one target image;

2. The method of claim 1, wherein prior to said performing a human search task, the method further comprises:

acquiring human body searching time;

3. The method of claim 2, wherein prior to said performing a human search task, the method further comprises: acquiring a human body searching range;

4. A method according to claim 3, wherein the at least one target image comprises a first image and a second image;

5. The method according to any one of claims 1 to 4, wherein the human body search task further comprises:

6. The method according to any one of claims 1 to 4, wherein the acquiring the first image to be confirmed comprises:

7. The method of claim 6, wherein prior to said performing a human search task, the method further comprises:

8. The method of claim 7, wherein the at least one target image comprises a fifth image, and wherein in the case where the claims recited in claim 7 include claim 5, the method further comprises:

Under the condition that a video viewing request for the fifth image sent by a second terminal is received, intercepting a video stream to be displayed containing the fifth image from the video stream to be processed;

and sending the video stream to be displayed to the second terminal.

9. An object finding apparatus, the apparatus comprising:

the acquisition unit is also used for acquiring a second image to be confirmed; the acquisition position of the second image to be confirmed is different from the acquisition position of the first image to be confirmed;

10. An electronic device, comprising: a processor and a memory for storing computer program code comprising computer instructions which, when executed by the processor, cause the electronic device to perform the method of any one of claims 1 to 8.

11. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1 to 8.