Method of video monitor object automatic detection and system thereof

A video monitoring and automatic detection technology, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve the problem of low query efficiency of massive video data

Active Publication Date: 2012-06-13
WUXI GANGWAN NETWORK TECH
View PDF2 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the defects and deficiencies of the prior art, provide a method and system for automatic detection of video surveillance targets, and solve the problem of low query efficiency for massive video data in the prior art

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 of video monitor object automatic detection and system thereof
  • Method of video monitor object automatic detection and system thereof
  • Method of video monitor object automatic detection and system thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] Technical principle of the present invention: conduct pedestrian detection in video surveillance based on Gentle AdaBoost classifier and extended Harr feature, this method mainly involves two aspects: classifier off-line training and pedestrian real-time detection.

[0042] The classifier is trained offline, and the training target samples are created. The training samples are divided into positive samples and negative samples. The positive samples refer to the target samples to be checked, and the negative samples refer to other arbitrary pictures.

[0043] The motion information and shape information of the image are used in the classifier training to improve the accuracy of recognition.

[0044] Real-time pedestrian detection, according to the running information of the surveillance video, only detects the moving part, improving the real-time performance of the system.

[0045] This method comprehensively utilizes the target motion features and appearance features in...

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 method of video monitor object automatic detection and a system thereof. Combined with object motion information and form information in a video, based on a Gentle AdaBoost algorithm and an expanded Harr characteristic, a classifier is trained and object detection in the video is carried out automatically, a return value is determined after employing a training sample window to pass through each layer of a cascade classifier, when the return value is a positive number, an object is searched in real time in video monitoring and is highlighted, and a problem of low inquire efficiency of mass video data in the prior art is solved. The method and the system have the characteristics of simple design, fast detection speed, high precision and strong robustness, efficiency of extracting a characteristic in the video is raised, and the method and the system can be widely used for pedestrian detection and tracking in the video retrieval field.

Description

technical field [0001] The invention relates to the technical field of video surveillance image processing, in particular to a method and system for automatic detection of video surveillance targets. Background technique [0002] With the society's emphasis on public safety and the popularization of monitoring equipment, video surveillance has been more and more widely used. Video data provides a legal basis for evidence collection in many industries. At the same time, video data has reached massive amounts. A video will cause many people to continuously read the video history video, resulting in a lot of waste of manpower, material and financial resources, and low work efficiency. [0003] In addition, due to differences in the specifications of video surveillance equipment, some video surveillance images have low resolution and blurred images, which adds a lot of difficulty to automatic pedestrian detection in video. How to quickly and accurately find the segment or targe...

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): G06K9/00G06K9/62G06F17/30
Inventor 王芳
Owner WUXI GANGWAN NETWORK TECH
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