DocumentCode
3030101
Title
The Goal Matching Algorithm Histogram-Based Color Correction and Space
Author
Yang Jing ; Cao Shi
Author_Institution
Xi´an Int. Univ., Xian, China
fYear
2013
fDate
29-30 June 2013
Firstpage
1461
Lastpage
1463
Abstract
The goals match is one of the key issues that need to be resolved based on the multi-camera video surveillance system. The target match existing problems for current algorithms based on color features is proposed based on the histogram of the target color correction and spatial matching method. First color correction to remove the camera and light the influence of the environment on the target color of the sequence of images collected, after extracting the target space in the HSV space histogram and a similarity measure. Experimental results show that the proposed method is robust, light, body posture and perspective to achieve better target match.
Keywords
feature extraction; image colour analysis; image matching; video cameras; video surveillance; HSV space histogram; color features; goal matching algorithm histogram-based color correction; goal matching algorithm histogram-based space; image sequence; multicamera video surveillance system; similarity measure; spatial matching method; target color correction histogram; target matching; target space extraction; Automation; Manufacturing; Multi-camera; color correction; goal match; space histogram;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
Conference_Location
Qingdao
Type
conf
DOI
10.1109/ICDMA.2013.349
Filename
6598273
Link To Document