Motion information and trajectory association-based video pedestrian detection and tracking method

A trajectory correlation and pedestrian detection technology, applied in the field of video pedestrian detection and tracking, can solve problems such as occlusion and easy tracking, and achieve accurate tracking, good real-time performance, and good robustness.

Active Publication Date: 2016-01-06
HOPE CLEAN ENERGY (GRP) CO LTD
View PDF5 Cites 38 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The advantage of this type of method is that it is more robust, but it is easy to lose track when occlusion occurs.

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
  • Motion information and trajectory association-based video pedestrian detection and tracking method
  • Motion information and trajectory association-based video pedestrian detection and tracking method
  • Motion information and trajectory association-based video pedestrian detection and tracking method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] Implementation platform: Matlab, C++

[0049] Hardware platform: Inteli3+2GRAM

[0050] Software platform: Matlab, VS2010, OPENCV2.4.9

[0051] Adopt the method of the present invention, at first use Matlab to carry out algorithm verification, and develop on C++ platform. We train the pedestrian detection classifier through offline samples, use the method in this paper for detection, and track the detection results with the method in this paper. It has better robustness and can be used in real scenes.

[0052] The implementation method is as follows:

[0053] The flow of the video pedestrian detection method based on motion information, as shown in the attached figure 1 shown, including the following steps:

[0054] Step 1: Offline training of the pedestrian detection classifier: in the corresponding application scene, intercept pedestrians containing various poses of pedestrians as positive samples, and use the background of the scene as negative samples. For ea...

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 invention provides a motion information and trajectory association-based video pedestrian detection and tracking method. Pedestrian detection comprises: detecting motion by using a frame difference method; first detecting a motion area in a video in combination with a morphological method of digital image processing; then extracting a feature from the motion area in a manner of sliding window searching; and performing classification by using a previously trained pedestrian detection classifier, to finally obtain a classification result. The tracking method comprises: using the pedestrian detection result obtained in the previous step as input of this step; in the beginning, initializing a tracker for each detected pedestrian, wherein each tracker comprises history motion information and appearance information of an object; and when a current frame is being processed, extracting location information and appearance information for each input detection result, and establishing a correlation matrix based on this to associate with a tracking object of a previous frame, and finally obtaining a tracking trajectory of a pedestrian. The present invention has good real-time performance, and also has good robustness in a relatively complex situation.

Description

technical field [0001] The invention belongs to the technical field of digital image processing and relates to video pedestrian detection and tracking technology. technical background [0002] With the development of modern computer technology and the wide application of computer vision principles, the research on pedestrian detection and tracking in video using artificial intelligence and computer image processing technology is becoming more and more popular. Video pedestrian detection and tracking is to find out the position and trajectory of pedestrians in a video sequence. As the basic technology of modern intelligent monitoring, it can be applied to various monitoring scenarios, such as roads, stations and airports. Pedestrian detection and tracking can be divided into two parts, namely pedestrian detection and pedestrian tracking. [0003] Commonly used pedestrian detection techniques are as follows: [0004] 1) Pedestrian detection method based on background modeli...

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
CPCG06V40/20G06F18/241
Inventor 解梅罗招材陈熊于国辉
Owner HOPE CLEAN ENERGY (GRP) CO LTD
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