CN111160068A - Target picture generation method and device and electronic equipment - Google Patents
Target picture generation method and device and electronic equipment Download PDFInfo
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- CN111160068A CN111160068A CN201811320634.XA CN201811320634A CN111160068A CN 111160068 A CN111160068 A CN 111160068A CN 201811320634 A CN201811320634 A CN 201811320634A CN 111160068 A CN111160068 A CN 111160068A
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- 230000005540 biological transmission Effects 0.000 abstract description 10
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
Abstract
The application provides a target picture generation method, a target picture generation device and electronic equipment, wherein the method comprises the following steps: when the target human body picture is received, the picture containing the target human body is found from the human body data information; determining a background picture of a target human body; aiming at each searched frame of picture, extracting a target block containing a target human body from the picture, and superposing the target block to the background picture, wherein the position of the target block in the background picture corresponds to the position of the target block in the picture; and determining the background picture on which each target block is superposed as a target picture containing the motion trail of the target human body. By searching for a picture containing a target human body in the human body data information, rather than searching for the whole video data, the searching efficiency can be improved. The motion trail of the target human body is represented by one picture instead of a section of condensed video, so that the storage space can be saved, the transmission bandwidth can be saved during transmission, and the reading time overhead of a user can be shortened.
Description
Technical Field
The present application relates to the field of video processing technologies, and in particular, to a method and an apparatus for generating a target picture, and an electronic device.
Background
With the increasingly huge amount of video data, a user hopes to obtain a fast preview of a video without viewing the whole video, analyze the structure and content of the video, extract a meaningful part from the original video, and form a concise summary capable of fully representing the content of the video. However, the video preview is still a video segment composed of a plurality of image frames, and the required storage space is relatively large, and the required bandwidth is also relatively large when forwarding.
Disclosure of Invention
In view of this, the present application provides a method and an apparatus for generating a target picture, and an electronic device, so as to solve the problem that a video preview generated in the related art requires a large storage space and a large bandwidth.
According to a first aspect of embodiments of the present application, a method for generating a target picture is provided, where the method includes:
when a target human body picture is received, at least one frame of picture containing the target human body is searched from stored human body data information;
determining a background picture of the target human body;
aiming at each searched frame picture, extracting a target block containing the target human body from the picture, and superposing the target block to the background picture, wherein the position of the target block in the background picture corresponds to the position of the target block in the picture;
and determining the background picture on which each target block is superposed as a target picture containing the target human motion trail.
According to a second aspect of the embodiments of the present application, there is provided a target picture generation apparatus, the apparatus including:
the searching module is used for searching at least one frame of picture containing the target human body from the stored human body data information when the target human body picture is received;
the first determination module is used for determining a background picture of the target human body;
the superposition module is used for extracting a target block containing the target human body from each searched frame of picture and superposing the target block to the background picture, wherein the position of the target block in the background picture corresponds to the position of the target block in the picture;
and the second determining module is used for determining the background picture superposed with each target block as a target picture containing the target human motion trail.
According to a third aspect of embodiments herein, there is provided an electronic device, the device comprising a readable storage medium and a processor;
wherein the readable storage medium is configured to store machine executable instructions;
the processor is configured to read the machine executable instructions on the readable storage medium and execute the instructions to implement the steps of the method according to the first aspect.
By applying the embodiment of the application, when a target human body picture is received, at least one frame of picture containing the target human body is searched from stored human body data information, a background picture of the target human body is determined, then a target block containing the target human body pair is extracted from the picture aiming at each frame of the searched picture, the target block is superposed to the background picture, wherein the position of the target block in the background picture corresponds to the position of the target block in the picture, and finally the background picture superposed with each target block is determined to be the target picture containing the motion trail of the target human body.
Based on the above description, it can be known that the search efficiency can be improved by searching the stored human body data information for the picture containing the target human body, rather than searching from the whole video data acquired by the camera. And by extracting the target block containing the target human body from each frame of picture and adding the target block into the background picture, the motion trail of the target human body is represented by one picture instead of a section of condensed video, so that the storage space can be saved, the transmission bandwidth can be saved during transmission, and the time overhead of reading by a user can be shortened.
Drawings
Fig. 1 is a flowchart illustrating an embodiment of a target picture generation method according to an exemplary embodiment of the present application;
FIG. 2 is a diagram of a hardware configuration of an electronic device according to an exemplary embodiment of the present application;
fig. 3 is a block diagram of an embodiment of a target picture generation apparatus according to an exemplary embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
At present, a video preview generated by the related art is a segment of video composed of a plurality of image frames in which a target human body exists, and a motion track of the target human body in a certain scene can be reflected through the segment of video. However, since the video preview is only a segment of condensed video compared to the original video, the required storage space is still larger, and the required transmission bandwidth is also larger during transmission. In addition, in addition to the target human body, the video preview generated by the related technology may also have interference of other irrelevant human bodies, and especially in case investigation application scenes, the privacy protection of the irrelevant people is not facilitated.
Based on the above, when a target human body picture is received, at least one frame of picture containing the target human body is searched from the stored human body data information, a background picture of the target human body is determined, then a target block containing the target human body pair is extracted from the picture according to each frame of the searched picture, the target block is superposed on the background picture, wherein the position of the target block in the background picture corresponds to the position in the picture, and finally the background picture superposed with each target block is determined as the target picture containing the motion trail of the target human body.
Based on the above description, it can be known that the search efficiency can be improved by searching the stored human body data information for the picture containing the target human body, rather than searching from the whole video data acquired by the camera. And by extracting the target block containing the target human body from each frame of picture and adding the target block into the background picture, the motion trail of the target human body is represented by one picture instead of a section of condensed video, so that the storage space can be saved, the transmission bandwidth can be saved during transmission, and the time overhead of reading by a user can be shortened.
The technical solution of the present application is explained in detail by the following specific examples.
Fig. 1 is a flowchart of an embodiment of a target picture generation method according to an exemplary embodiment of the present application, where the target picture generation method may be applied to an electronic device, the electronic device may communicate with a camera through a network, and the following description takes an example where the electronic device is a Network Video Recorder (NVR) device as an example. As shown in fig. 1, the target picture generation method includes the following steps:
step 101: and when the target human body picture is received, at least one frame of picture containing the target human body is searched from the stored human body data information.
Before step 101 is executed, human body data information needs to be generated and stored, and the human body data information includes: the picture and the human body characteristic data contained in the picture.
In an embodiment, for the process of generating and storing human body data information, when a detection start notification sent by a camera is received, a frame of picture is extracted from video data acquired by the camera as a background picture, the acquisition time of the background picture is closest to a time point carried by the detection start notification, and the background picture does not contain a human body, the time point is a time point when the camera detects a human body, the picture is extracted from video data acquired by the camera in real time after the detection start notification is received, and when a detection stop notification sent by the camera is received, the picture extraction is stopped, and the extracted multiple frames of pictures and the extracted background picture are stored as an event sequence, and human body feature data contained in each frame of pictures is determined and stored.
The camera can be arranged in a certain gate scene, whether a human body exists in the collected video data can be detected in real time through a human body detection module arranged on the camera in the monitoring process, when the human body is detected, the detection starting notification is immediately sent to the NVR device, and therefore the NVR device extracts the background picture from the collected video data based on the triggering of the detection starting notification. Since the captured video data is stored before the human body is detected, the background picture extracted from the captured video data does not contain the human body, but only the scene background. And because the human body exists in the video data collected by the camera after the human body is detected, pictures can be extracted from the video data collected by the camera in real time after the detection starting notice is received, and the human body exists in the extracted pictures. The human body characteristic data contained in each frame of picture can be determined by sending each frame of picture to an intelligent processing chip arranged in the equipment, and the human body characteristic data contained in each frame of picture is identified by the intelligent processing chip so as to improve the identification efficiency.
In an embodiment, the process of extracting a picture from video data acquired by a camera in real time can be implemented by the following two ways:
the first implementation mode comprises the following steps: and capturing a frame of picture from the video data acquired by the camera in real time at preset time intervals.
The preset time interval can be set according to the actual requirements of the user, and the captured pictures can show the motion trail of the human body. Since the NVR device captures one frame of picture from the video data acquired by the camera in real time at intervals, the captured picture may be a key frame picture or a reference frame picture.
The second implementation mode comprises the following steps: key frame pictures are extracted from video data acquired by a camera in real time.
The NVR equipment extracts key frame pictures from the video data, the key frame pictures show that the content in the pictures changes greatly, and the reference frames show that the content in the pictures changes slightly, so that the key frame pictures show obvious human body motion changes, and the extracted key frame pictures can clearly show the motion trail of the human body.
In an embodiment, for the process of step 101, target human body feature data of a target human body picture may be extracted, then human body feature data matched with the target human body feature data is found from stored human body data information, and a picture corresponding to the found human body feature data is determined as a picture including the target human body.
The human body library can be led into the NVR device in advance, the human body library comprises a plurality of frames of target human body pictures, and a user can select one target human body picture from the human body library to trigger the process of finding at least one frame of picture comprising the target human body from stored human body data information. The extraction of the target human characteristic data can be obtained by identifying the target human image to an intelligent processing chip arranged in the equipment through the intelligent processing chip, so that the identification efficiency is improved.
It should be noted that, in the process of generating the human body data information, the acquisition time of each frame of picture may also be stored, so that when the user selects the target human body picture, a time range may also be set, and when searching, only the picture whose acquisition time belongs to the time range is searched in the stored human body data information.
It should be further noted that the NVR device may only store the video data of the period from the detection of the human body to the disappearance of the human body to the hard disk, so as to be used for the subsequent user to view the complete human body monitoring video.
Step 102: and determining a background picture of the target human body.
In an embodiment, an event sequence to which the target picture belongs may be determined, and a frame of background picture may be selected from the determined event sequence as a background picture of the target human body.
The background picture with the earliest acquisition time is selected from the background pictures contained in the event sequence to which the event sequence belongs, so that the scene background where the target human body appears at the beginning is ensured to be obtained.
In an exemplary scenario, it is assumed that stored body data information includes an event sequence 1, an event sequence 2, and an event sequence 3, where the event sequence 1 includes 6 frames of pictures, the event sequence 2 includes 9 frames of pictures, and the event sequence 3 includes 8 frames of pictures, where the background picture included in the event sequence 1 is acquired at the earliest time, the background picture included in the event sequence 2 is acquired at the second time, and the background picture included in the event sequence 3 is acquired at the latest time. If 6 frames of pictures are found from the stored human body data information, wherein 5 frames of pictures are all pictures included in the event sequence 1, and the other 1 frame of picture is a picture included in the event sequence 3, the background picture included in the event sequence 1 can be selected because the acquisition time of the background picture included in the event sequence 1 is the earliest.
Step 103: and aiming at each searched frame picture, extracting a target block containing the target human body from the picture, superposing the target block to the background picture, and determining the background picture superposed with each target block as the target picture containing the target human body motion trail.
The searched pictures can be traversed according to the sequence of the acquisition time from small to large, and deduction and superposition operations are carried out on each traversed frame of picture. The position of the target block in the background picture corresponds to the position in the picture.
It should be noted that the stored human body data information may be data when a human body appears in a scene monitored by one camera, and thus the target human body motion trajectory refers to a motion trajectory in the same scene. If the NVR equipment is connected with multiple cameras, a human body data information table can be maintained for each camera, when a target picture is generated, one target picture can be generated for a scene monitored by each camera, and if the NVR equipment generates multiple target pictures for a certain target human body, the target human body appears in multiple scenes.
In the embodiment of the application, when a target human body picture is received, at least one frame of picture containing the target human body is found from stored human body data information, a background picture of the target human body is determined, then a target block containing the target human body pair is extracted from the picture according to each frame of the found picture, the target block is overlapped on the background picture, wherein the position of the target block in the background picture corresponds to the position of the target block in the picture, and finally the background picture on which each target block is overlapped is determined as a video clip containing a motion track of the target human body.
Based on the above description, it can be known that the search efficiency can be improved by searching the stored human body data information for the picture containing the target human body, rather than searching from the whole video data acquired by the camera. And by extracting the target block containing the target human body from each frame of picture and adding the target block into the background picture, the motion trail of the target human body is represented by one picture instead of a section of condensed video, so that the storage space can be saved, the transmission bandwidth can be saved during transmission, and the time overhead of reading by a user can be shortened. And because only the target human body exists in the superposed background picture and other irrelevant human body interference does not exist, the privacy protection of irrelevant people is facilitated.
Fig. 2 is a hardware block diagram of an electronic device according to an exemplary embodiment of the present application, where the electronic device includes: a communication interface 201, a processor 202, a machine-readable storage medium 203, and a bus 204; wherein the communication interface 201, the processor 202 and the machine-readable storage medium 203 communicate with each other via a bus 204. The processor 202 may execute the above-described target picture generation method by reading and executing machine executable instructions corresponding to the control logic of the target picture generation method in the machine readable storage medium 203, and the specific content of the method is referred to the above-described embodiments, which will not be described herein again.
The machine-readable storage medium 203 referred to herein may be any electronic, magnetic, optical, or other physical storage device that can store information, such as executable instructions, data, and the like. For example, the machine-readable storage medium may be: volatile memory, non-volatile memory, or similar storage media. In particular, the machine-readable storage medium 203 may be a RAM (random Access Memory), a flash Memory, a storage drive (e.g., a hard drive), any type of storage disk (e.g., an optical disk, a DVD, etc.), or similar storage medium, or a combination thereof.
Fig. 3 is a block diagram of an embodiment of a target image generating apparatus according to an exemplary embodiment of the present application, where the target image generating apparatus may be applied to an electronic device, and as shown in fig. 3, the target image generating apparatus includes:
the searching module 310 is configured to search at least one frame of picture including the target human body from the stored human body data information when the target human body picture is received;
a first determining module 320, configured to determine a background picture of the target human body;
the superimposing module 330 is configured to, for each found frame of picture, extract a target block including the target human body from the picture, and superimpose the target block onto the background picture, where a position of the target block in the background picture corresponds to a position of the target block in the picture;
a second determining module 340, configured to determine the background picture on which the target blocks are superimposed as a target picture including the target human motion trajectory.
In an alternative implementation, the apparatus further comprises (not shown in fig. 3):
the human body data generating module is used for generating and storing the human body data information, and the human body data information comprises: the method comprises the following steps of (1) obtaining pictures and human body characteristic data contained in the pictures;
the search module 310 is specifically configured to extract target human body feature data of the target human body picture; and searching the human body characteristic data matched with the target human body characteristic data from the stored human body data information, and determining the picture corresponding to the searched human body characteristic data as the picture containing the target human body.
In an optional implementation manner, the human body data generating module is specifically configured to, when a detection start notification sent by a camera is received, extract a frame of picture from video data acquired by the camera as a background picture, where acquisition time of the background picture is closest to a time point carried by the detection start notification and the background picture does not include a human body, where the time point is a time point when the camera detects a human body; after receiving the detection starting notice, extracting and storing pictures from video data acquired by the camera in real time; and when a detection stop notice sent by the camera is received, stopping extracting the pictures, storing the extracted multi-frame pictures and the background pictures as an event sequence, and determining and storing human body feature data contained in each frame of picture.
In an optional implementation manner, the first determining module 320 is specifically configured to determine an event sequence to which the target picture belongs; and selecting a frame of background picture from the determined event sequence as the background picture of the target human body.
In an optional implementation manner, the human body data generating module is specifically configured to capture a frame of picture from the video data acquired by the camera in real time at preset time intervals in a process of extracting the picture from the video data acquired by the camera in real time; or, extracting key frame pictures from the video data acquired by the camera in real time.
The implementation process of the functions and actions of each unit in the above device is specifically described in the implementation process of the corresponding step in the above method, and is not described herein again.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed 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 modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement it without inventive effort.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is also noted that the terms "comprises," "comprising," "includes," "including," or any other variation thereof, are intended to cover a non-exclusive presence, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.
Claims (11)
1. A method for generating a target picture, the method comprising:
when a target human body picture is received, at least one frame of picture containing the target human body is searched from stored human body data information;
determining a background picture of the target human body;
aiming at each searched frame picture, extracting a target block containing the target human body from the picture, and superposing the target block to the background picture, wherein the position of the target block in the background picture corresponds to the position of the target block in the picture;
and determining the background picture on which each target block is superposed as a target picture containing the target human motion trail.
2. The method of claim 1, further comprising:
generating and storing the human body data information, wherein the human body data information comprises: the method comprises the following steps of (1) obtaining pictures and human body characteristic data contained in the pictures;
the finding of the at least one frame of picture containing the target human body from the stored human body data information includes:
extracting target human body characteristic data of the target human body picture;
and searching the human body characteristic data matched with the target human body characteristic data from the stored human body data information, and determining the picture corresponding to the searched human body characteristic data as the picture containing the target human body.
3. The method of claim 2, wherein generating and storing the body data information comprises:
when a detection starting notice sent by a camera is received, extracting a frame of picture from video data acquired by the camera as a background picture, wherein the acquisition time of the background picture is closest to a time point carried by the detection starting notice, and the background picture does not contain a human body, and the time point is the time point when the camera detects the human body;
extracting pictures from video data acquired by the camera in real time after receiving the detection starting notice;
and when a detection stop notice sent by the camera is received, stopping extracting the pictures, storing the extracted multi-frame pictures and the background pictures as an event sequence, and determining and storing the human body feature data contained in each frame of picture.
4. The method of claim 3, wherein determining the background picture of the target human body comprises:
determining an event sequence to which the searched picture belongs;
and selecting a frame of background picture from the determined event sequence as the background picture of the target human body.
5. The method of claim 3, wherein extracting a picture from video data captured by the camera in real time comprises:
capturing a frame of picture from video data acquired by the camera in real time at preset time intervals; alternatively, the first and second electrodes may be,
and extracting key frame pictures from the video data acquired by the camera in real time.
6. An apparatus for generating a target picture, the apparatus comprising:
the searching module is used for searching at least one frame of picture containing the target human body from the stored human body data information when the target human body picture is received;
the first determination module is used for determining a background picture of the target human body;
the superposition module is used for extracting a target block containing the target human body from each searched frame of picture and superposing the target block to the background picture, wherein the position of the target block in the background picture corresponds to the position of the target block in the picture;
and the second determining module is used for determining the background picture superposed with each target block as a target picture containing the target human motion trail.
7. The apparatus of claim 6, further comprising:
the human body data generating module is used for generating and storing the human body data information, and the human body data information comprises: the method comprises the following steps of (1) obtaining pictures and human body characteristic data contained in the pictures;
the searching module is specifically used for extracting target human body characteristic data of the target human body picture; and searching the human body characteristic data matched with the target human body characteristic data from the stored human body data information, and determining the picture corresponding to the searched human body characteristic data as the picture containing the target human body.
8. The apparatus according to claim 7, wherein the human body data generating module is specifically configured to, when a detection start notification sent by a camera is received, extract a frame of picture from video data acquired by the camera as a background picture, where an acquisition time of the background picture is closest to a time point carried by the detection start notification and the background picture does not include a human body, where the time point is a time point when the camera detects a human body; after receiving the detection starting notice, extracting and storing pictures from video data acquired by the camera in real time; and when a detection stop notice sent by the camera is received, stopping extracting the pictures, storing the extracted multi-frame pictures and the background pictures as an event sequence, and determining and storing human body feature data contained in each frame of picture.
9. The apparatus according to claim 8, wherein the first determining module is specifically configured to determine an event sequence to which the found picture belongs; and selecting a frame of background picture from the determined event sequence as the background picture of the target human body.
10. The apparatus according to claim 8, wherein the human body data generating module is specifically configured to capture one frame of picture from the video data acquired by the camera in real time at preset time intervals during the process of extracting the picture from the video data acquired by the camera in real time; or, extracting key frame pictures from the video data acquired by the camera in real time.
11. An electronic device, characterized in that the device comprises a readable storage medium and a processor;
wherein the readable storage medium is configured to store machine executable instructions;
the processor configured to read the machine executable instructions on the readable storage medium and execute the instructions to implement the steps of the method of any one of claims 1-5.
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| CN104639994A (en) * | 2013-11-08 | 2015-05-20 | 杭州海康威视数字技术股份有限公司 | Video abstraction generating method, system and network storage equipment based on moving objects |
| JP2018078540A (en) * | 2016-11-02 | 2018-05-17 | キヤノン株式会社 | Image processing apparatus, image processing method and program |
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