Multi-target tracking system in dynamic video sequence

A multi-target tracking and video sequence technology, which is applied in the system field of image processing technology, achieves the effects of easy implementation, avoiding data correlation calculation, and ensuring effectiveness and reliability

Inactive Publication Date: 2010-11-24
SHANGHAI JIAO TONG UNIV
View PDF0 Cites 32 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The present invention uses GM-PHD to realize PHD filter recursion in the video multi-target system, uses the improved moving target detection result as the input of the GM-PHD filter, realizes video multi-target tracking under the framework of probab...

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
  • Multi-target tracking system in dynamic video sequence
  • Multi-target tracking system in dynamic video sequence
  • Multi-target tracking system in dynamic video sequence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0025] Such as figure 1 As shown, this embodiment includes: an input module, a moving object detection module, a PHD filtering module and an output module, wherein: the moving object detection module is connected with the input module to transmit the dynamic video sequence to be processed, and the PHD filtering module is connected with the moving object detection module for transmission For the position information of the target, the output module is connected with the PHD filter module to transmit the state (position and speed) estimation random set and the target number estimation random set of the moving target.

[0026]The moving target detection module includes: a background area initialization submodule, a background area update submodule, a foreground image extraction submodule, a morphological processing submodule and a connected domain analysis submodule, wherein: the background area initialization submodule is connected to the input module Transmit the position infor...

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 relates to a multi-target tracking system in a dynamic video sequence, belonging to the technical field of image processing. The multi-target tracking system comprises an input module, a moving target detection module, a PHD (Probability Hypothesis Density) filter module and an output module, wherein the moving target detection module comprises a background area initialization submodule, a background area updating submodule, a foreground image extraction submodule, a morphology processing submodule and a connected domain analysis submodule; and the PHD filter module comprises a Gauss element parameter prediction submodule, a Gauss element updating submodule, a Gauss element trimming submodule and a state extraction submodule. The invention provides more reliable measurement information for the video tracking system through the improved moving target detection module, solves the problems of possible complex computation of particle filters and probability hypothesis density filters and unreliable state extraction under the condition that targets are crossed, ensures the effectiveness and the reliability of the video tracking system, avoids the data association computation and is widely used in various fields of multi-target video monitoring.

Description

technical field [0001] The invention relates to a system in the technical field of image processing, in particular to a multi-target tracking system in a dynamic video sequence based on Gaussian Mixture Probability Hypothesis Density (GM-PHD) filtering. Background technique [0002] Video target tracking is the core technology of video surveillance technology, widely used in all-weather, automatic, real-time monitoring of scenes, visual traffic control, sports video analysis, medical auxiliary diagnosis and other fields. The so-called video target tracking refers to the detection, extraction, identification and tracking of the moving target in the video image sequence, and obtains the motion parameters of the moving target, such as the position of the target center of mass, velocity, acceleration, etc., as well as the trajectory for further processing and tracking. Analysis, enabling behavioral understanding of motor targets for higher level tasks. [0003] The difficulty o...

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
IPC IPC(8): G06T7/20H04N7/18
Inventor 胡士强吴静静
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap