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

Target color recognition method and system for video surveillance

A target color and color recognition technology, applied in the field of color recognition, can solve problems such as light changes, target color judgment errors, and color changes of people's clothes

Inactive Publication Date: 2015-04-22
ENC DATA SERVICE CO LTD
View PDF5 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The traditional target color recognition method is to simply count the color value of each pixel in the candidate target color recognition area, and select the color with the largest proportion of color value as the target color. Changes, such as reflective spots in the vehicle color recognition area, wrinkles in people's clothes, etc., may cause color changes, and finally the target color judgment error

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
  • Target color recognition method and system for video surveillance
  • Target color recognition method and system for video surveillance
  • Target color recognition method and system for video surveillance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] like figure 1 As shown, a target color recognition method for video surveillance, including:

[0042] S110. Extract a color recognition target area from a video image.

[0043] S120. Initialize the color of the target area: convert the color recognition target area space into HSL space, and use the pre-trained svm model to initialize the color of each pixel in the HSL space.

[0044] S130. Perform color category detection on each color component h, s, and l in the target area:

[0045] S131. Parameter update: update {μ according to the current target area l ,σ l}, μ l and σ l are the mean and standard deviation of the current class l color region, respectively.

[0046] make is the estimate of the true label of the image, and is given by the maximum a posteriori probability (MAP) criterion

[0047] x ^ = arg max x ∈ X ...

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 provides a target color recognition method for video surveillance. The method comprises the steps that a color recognition target area is extracted from a video image; colors of the target area are initialized; color category detection is carried out on all color components h, s and l of the target area; the proportion of each color of the color recognition target area is calculated, and the color with the largest proportion serves as the color of the color recognition target area. According to the method, the Markov random field model is adopted, influence on color recognition from environment changes and target posture changes can be reduced according to the neighborhood position relation of the color recognition target area, and therefore the color recognition rate can be increased, a color target can be effectively positioned in intelligent surveillance, and strong evidence can be provided for solving criminal cases like violation of laws and rules.

Description

technical field [0001] The invention belongs to the technical field of color recognition, and in particular relates to a target color recognition method and system for video surveillance. Background technique [0002] In recent years, with the rapid development of computers and the Internet, the number of various motor vehicles has increased rapidly, and various monitoring and traffic-related information has shown an explosive growth trend. In order to efficiently manage and apply these information, intelligent monitoring systems have emerged as the times require. . The intelligent monitoring system can play a powerful role in checkpoints, parking lots, and criminal case tracking. Vehicle information in video image information includes license plate number, vehicle color, vehicle logo and other information, pedestrian information includes pedestrian color, pedestrian texture, pedestrian edge outline and other information, target color recognition plays a pivotal role in mon...

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): G06K9/00
CPCG06V20/46G06V10/56
Inventor 雷章明王运节张彩红张如高虞正华
Owner ENC DATA SERVICE CO LTD
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