Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Moving target detection method t based on gray features

A technology of grayscale features and moving targets, which is used in instruments, character and pattern recognition, computer parts, etc., can solve problems such as complex calculations and difficult real-time monitoring systems, to simplify the detection process, improve detection accuracy, and reduce time overhead. Effect

Active Publication Date: 2012-09-12
宁波中科集成电路设计中心有限公司
View PDF5 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, because the optical flow is sensitive to noise and the calculation is extremely complex, it is difficult to apply this optical flow method to the actual real-time monitoring system.

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
  • Moving target detection method t based on gray features
  • Moving target detection method t based on gray features
  • Moving target detection method t based on gray features

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0045] A kind of moving object detection method based on the grayscale feature that the present invention proposes, such as figure 1 As shown, it includes the following steps:

[0046] ① Use video acquisition equipment such as cameras to collect real-time video surveillance image sequences of monitoring scenes, and transmit the real-time video surveillance image sequences collected by video acquisition equipment to computer terminals in real time.

[0047] ② Use the computer terminal to perform grayscale operation and denoising processing on the real-time video surveillance image sequence to obtain the real-time video surveillance image sequence to be detected.

[0048] Here, the denoising process adopts the existing median filtering method.

[0049] ③ Select the first N frames of video surveillance images from the real-time video surveillan...

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 moving target detection method based on gray features. The method comprises the following steps of: carrying out gray processing and denoising processing on a real-time video monitoring image sequence by utilizing a computer terminal, selecting a multiframe video monitoring image from the image sequence to form a training image sequence, extracting the corresponding gray feature set to each pixel at the same coordinate position in the training image sequence, screening the gray feature sets to obtain a background model, carrying out moving target detection on a subsequent video monitoring image in the image sequence, and carrying out morphology filtering and connected region detection on a binaryzation image including the moving target to obtain an outline and a position of the moving target. The method provided by the invention only needs the searching and comparison operations in the gray feature sets corresponding to the pixels without without complicated parameter estimation or probability calculation, thus simplifying the detection process, improving the detection precision, reducing the time cost and improving the operating efficiency.

Description

technical field [0001] The invention relates to a target detection method, in particular to a gray-scale feature-based moving target detection method. Background technique [0002] Intelligent Video Surveillance (IVS, Intelligent Video Surveillance) is an important research direction of computer vision. In recent years, with the highlight of public security issues, intelligent video surveillance has become a research hotspot. Especially after the September 11 incident in the United States in 2001 and the London subway bombing in 2005 in the United Kingdom, the emphasis on public safety issues has risen to a national level. From the domestic situation, as of 2010, in my country's security industry, intelligent video surveillance systems accounted for 55% of the total security products. At present, the coverage of intelligent video surveillance systems in some areas is already very high, and the coverage in special environments such as banks, airports, ports, and large super...

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
Inventor 张家乐黄晁张从连陈辰
Owner 宁波中科集成电路设计中心有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com