Joint reasoning-based video multi-target tracking method

A multi-target tracking and target technology, applied in the field of video multi-target tracking based on joint reasoning, which can solve the problem of high cost

Inactive Publication Date: 2014-04-02
SHANGHAI JIAO TONG UNIV
View PDF1 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the cost of this technology is high, and it cannot effectively track obstacles so as to combine historical information to make more accurate detection results.

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
  • Joint reasoning-based video multi-target tracking method
  • Joint reasoning-based video multi-target tracking method
  • Joint reasoning-based video multi-target tracking method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] The implementation environment of this embodiment is that the present invention can be used for tracking processing for videos collected indoors or outdoors by movable or fixed cameras. The specific method of use is as follows, at first, set up a fixed or movable camera in the place where monitoring and tracking is required to collect data; The first frame of the stream will require input of the number of targets to be tracked, and the tracked targets will be framed manually with a rectangle; finally, the present invention will automatically and accurately track and mark the selected targets in the video stream.

[0033] Such as figure 1 As shown, this embodiment includes the following steps: first read a frame image of the input video, if it is the first frame, do initialization settings; afterward, after the frame image is rasterized, it is input to the online detector and tracker Mark the candidate target positions; then, input the candidate target positions into th...

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 joint reasoning-based video multi-target tracking method in the technical field of video processing. The method comprises the following steps: firstly, reading a frame of image of a video file, carrying out image rasterization processing, and then calibrating a candidate position of a target by adopting an online detector and a KLT tracking algorithm as a tracker, respectively screening and then integrating the results; secondly, carrying out quantitative grading on the obtained candidate position result; finally, describing the target tracking condition by using a joint function, and taking the optimal solution based on the joint function as the position of the target in the frame, so as to achieve target tracking. By adopting the joint reasoning-based video multi-target tracking method, the processing of the treatment method combined with a detection tracking algorithm and multi-target relationship in the tracking technology under multi-target tracking can be achieved, and the multi-target relationship is described by using the joint function, so that not only is the result fusion of detection and tracking achieved, but also the relationship between the targets is integrated according to overall situation, so that a global optimal resolution is obtained.

Description

technical field [0001] The invention relates to a method in the technical field of video processing, in particular to a video multi-target tracking method based on joint reasoning. Background technique [0002] With the development and popularization of camera equipment, video tracking plays an increasingly important role in production and life. Especially in video surveillance systems, tracking algorithms can effectively reduce labor costs and save time. However, due to the imperfection of the tracking technology itself and the complex and changeable tracking environment, the accuracy of the tracking results is affected, and the application of the tracking algorithm is limited. [0003] Target tracking in video is a very challenging subject, because there are many uncertain factors in the tracking process, such as: complex background, if the background is similar to the tracked target, it will interfere with the tracking algorithm's judgment of the target position; obvious...

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): G06K9/62G06T7/20
Inventor 张辰元蔡岭张颖华赵宇明胡福乔
Owner SHANGHAI JIAO TONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products