Unlock instant, AI-driven research and patent intelligence for your innovation.

Video-based pedestrian static state identification method, electronic equipment and storage medium

A static state and recognition method technology, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as the inability to accurately judge the moving state or static state of the target object, affecting the control measures of the target object, and affecting the accuracy of the analysis results. , to achieve the effect of facilitating control measures, reducing the amount of data, and improving accuracy

Active Publication Date: 2021-08-27
ZHEJIANG MEIRI HUDONG NETWORK TECH CO LTD
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, for the state of the target object in the video, it is judged whether the target object is in a moving state or a static state by analyzing the behavior of the target object. This method requires more data to be analyzed, and it will also be affected by other factors. The accuracy of the analysis results, for example, the behavior of other objects coincides with the behavior of the target object, resulting in the inability to accurately judge whether the target object is in a moving state or a static state, which affects the adoption of appropriate control measures for the target object

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Video-based pedestrian static state identification method, electronic equipment and storage medium
  • Video-based pedestrian static state identification method, electronic equipment and storage medium
  • Video-based pedestrian static state identification method, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] Such as figure 1 As shown, the first embodiment provides a video-based static state identification method, the method includes the following steps:

[0027] S101. Obtain a group of frame images in the first target video, where the first target video refers to a video containing pedestrians;

[0028] The first target video is any segment of video data, and the video data is collected by a fixed collection device, wherein the first target video belongs to connected real-time video.

[0029] S103. According to each frame image of the group of frame images, determine the target object and the target area vector Z corresponding to the target object, the target area vector Z=(Z 1 ,Z 2 ,Z 3 ,……,Z i ), i=1...n, n refers to the number of image frames, and the Z i Refers to the diagonal point coordinates of the target area in the i-th frame, wherein, the diagonal point coordinates include the first coordinate point (a i , b i ) and the second coordinate point (c i , d i ...

Embodiment 2

[0061] The second embodiment provides a method for identifying a still state based on video, and the method includes the following steps:

[0062] S101. Obtain a group of frame images in the first target video, where the first target video refers to a video containing pedestrians;

[0063] The first target video is any segment of video data, and the video data is collected by a fixed collection device, wherein the first target video belongs to connected real-time video.

[0064] S103. According to each frame image of the group of frame images, determine the target object and the target area vector Z corresponding to the target object, the target area vector Z=(Z 1 ,Z 2 ,Z 3 ,……,Z i ), i=1...n, n refers to the number of image frames, and the Z i Refers to the diagonal point coordinates of the target area in the i-th frame, wherein, the diagonal point coordinates include the first coordinate point (a i , b i ) and the second coordinate point (c i , d i ), the first coord...

Embodiment 3

[0091] The third embodiment provides a video-based static state identification method, the method includes the following steps:

[0092] S101. Obtain a group of frame images in the first target video, where the first target video refers to a video containing pedestrians;

[0093] The first target video is any segment of video data, and the video data is collected by a fixed collection device, wherein the first target video belongs to connected real-time video.

[0094] S103. According to each frame image of the group of frame images, determine the target object and the target area vector Z corresponding to the target object, the target area vector Z=(Z 1 ,Z 2 ,Z 3 ,……,Z i ), i=1...n, n refers to the number of image frames, and the Z i Refers to the diagonal point coordinates of the target area in the i-th frame, wherein, the diagonal point coordinates include the first coordinate point (a i , b i ) and the second coordinate point (c i , d i ), the first coordinate poin...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a video-based static state identification method, electronic equipment and a storage medium, and the method comprises the steps of obtaining a group of frame images in a first target video, the first target video being a video containing pedestrians; determining a target object and a target area vector corresponding to the target object according to each frame image of the group of frame images, generating a target height vector and a target moving length vector according to the target area vector, performing preprocessing based on the target height vector and the target moving length vector to obtain a target feature vector, inputting the target feature vector into a state recognition model, and determining that the state of the target object is a static state. According to the invention, whether a person is static or not (including slight shaking) can be judged only through detection area information of the pedestrian, the invention has very good robustness, the data size is reduced, the analysis process is simplified, the accuracy of an analysis result is improved, and appropriate control measures can be conveniently taken for the target pedestrian.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a video-based static state identification method, electronic equipment and a readable storage medium. Background technique [0002] With the development of the Internet, more and more places are equipped with camera devices to collect video. For example, different roads, community gates, shopping mall gates, school gates and other places in the city need to collect video. In most cases, the objects in the video are used The state of the object, monitoring or other control measures. [0003] At present, for the state of the target object in the video, it is judged whether the target object is in a moving state or a static state by analyzing the behavior of the target object. This method requires more data to be analyzed, and it will also be affected by other factors. The accuracy of the analysis results, for example, the behavior of other objects coincides with th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/103G06V20/40G06F18/214
Inventor 董霖叶新江姚建明方毅杨玉春曹克丹魏兴明
Owner ZHEJIANG MEIRI HUDONG NETWORK TECH CO LTD