DocumentCode :
479820
Title :
Shadow Removal of Vehicles in a Video System Based on RGB Chroma Model
Author :
Xuehua, Song ; Yan, Ding ; Jianfeng, Gen ; Yu, Chen
Author_Institution :
Dept. of Comput. Sci. & Telecommun. Eng., Jiangsu Univ., Zhenjiang
Volume :
1
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
977
Lastpage :
980
Abstract :
Shadow removal plays an important role in the moving object detection and retrieval of surveillance system. In order to remove shadow effectively, a detailed data analysis about shadow attribute is given after a brief introduction about how shadow comes into being. It is concluded that compared with the same field in background, the luminance of the shadow decreased a little, while each chroma per centum does not change a lot in RGB model. However, each chroma per centum of the moving object does change a lot. According to it, the paper proposes an easy algorithm which first picks up the front moving object, and detects the shadow in good use of the different properties between the shadow and object, and finally removes it successfully. The experiment shows that the algorithm could indeed remove the shadow coming from moving object effectively.
Keywords :
object detection; video retrieval; video surveillance; RGB chroma model; luminance; moving object detection; moving object retrieval; surveillance system; vehicle shadow removal; Change detection algorithms; Character generation; Computer science; Object detection; Production; Shape; Software engineering; Surveillance; Vehicles; Videoconference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.1160
Filename :
4721914
Link To Document :
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