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

Method, device, storage medium and device for detection and tracking of spatiotemporal behavior

A time-space domain and behavioral technology, applied in the field of image processing, can solve the problems of poor target tracking accuracy and large amount of calculation, and achieve the effect of improving the accuracy of statistics and analysis

Active Publication Date: 2022-07-08
小视科技(江苏)股份有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present application provides a method, device, storage medium and equipment for detecting and tracking behaviors in the space-time domain, which are used to solve the problem of poor target tracking accuracy and large amount of calculation when the target tracking is performed while detecting the behaviors in the time-space domain

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
  • Method, device, storage medium and device for detection and tracking of spatiotemporal behavior
  • Method, device, storage medium and device for detection and tracking of spatiotemporal behavior
  • Method, device, storage medium and device for detection and tracking of spatiotemporal behavior

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] In order to make the objectives, technical solutions and advantages of the embodiments of the present application more clear, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

[0054] Please refer to figure 1 , which shows a method flow chart of a method for detecting and tracking a spatiotemporal behavior provided by an embodiment of the present application, and the method for detecting and tracking a spatiotemporal behavior can be applied to a computer device. The detection and tracking method of the spatiotemporal behavior can include:

[0055] Step 101: Add the video frames extracted from the video to a queue of a predetermined length in sequence, until a video frame sequence is obtained when the number of video frames in the queue reaches a predetermined length.

[0056] In this embodiment, the computer device may acquire the video shot by the camera, and extract video frames from the...

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 present application discloses a method, device, storage medium and device for detecting and tracking spatiotemporal behavior, belonging to the technical field of image processing. The method includes: adding video frames in the video to a queue with a predetermined length, and obtaining a video frame sequence when the number of video frames in the queue reaches a predetermined length; obtaining the position information and the position information of each target object in the first video frame. Tracking mark; use the detection model to process the position information, tracking mark and video frame sequence to obtain the spatiotemporal feature matrix; use the detection model to perform target detection on the spatiotemporal feature matrix to obtain the position information and the position information of each target object in the last video frame. Behavior classification information; use the detection model to track and detect the spatiotemporal feature matrix, and obtain the tracking identification of each target object in the last video frame. The present application utilizes the temporal and spatial domain feature matrix to perform target detection and tracking detection, which improves the accuracy of target tracking while reducing the amount of computation.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular, to a method, device, storage medium and device for detecting and tracking behavior in the spatiotemporal domain. Background technique [0002] The detection of spatiotemporal behavior is very important in the field of behavior recognition. It has a very wide range of application scenarios in the fields of intelligent security and unmanned driving. In practical applications, it is often combined with target tracking algorithms for the continuous behavior of specific target objects. Perform statistics and analysis. [0003] In the prior art, the spatiotemporal behavior detection and target tracking algorithms are separated into two completely different tasks. During target tracking, the target detection based on the detection frame is through the intersection of the detection frame between the two frames and the estimation of the motion direction through Kalma...

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 Patents(China)
IPC IPC(8): G06T7/246G06N3/04
CPCG06T7/246G06N3/045
Inventor 杨帆冯帅白立群胡建国
Owner 小视科技(江苏)股份有限公司