DocumentCode
3008333
Title
Shadow Detection Method in Video Surveillance System
Author
Zhang, Li ; Wang, Changjun
Author_Institution
Sch. of Comput. Sci., Hangzhou Dianzi Univ., Hangzhou, China
fYear
2010
fDate
25-27 June 2010
Firstpage
1892
Lastpage
1895
Abstract
A shadow detection approach based on the proposed horizontal and vertical histograms was established. The method firstly constructs the horizontal and vertical histograms and gets the clustering centres of the pixel position in the upper human body, and then two groups of thresholds are chosen. Two initial shadow detection images are gotten based on the two groups of thresholds. Final shadow deletion image is attained by fusing the two initial shadow detection images. The method doesn´t depend on the image texture characteristics and has reliable results. The approach lays the foundation for the human tracking. These merits prove that the method would be a potentially significant contribution to the active area of shadow deletion in the video surveillance system.
Keywords
image texture; pattern clustering; video surveillance; clustering; image texture; shadow detection; video surveillance; Histograms; Humans; Image segmentation; Pattern recognition; Pixel; Streaming media; Surveillance; horizontal histogram; human tracking; shadow detection; vertical histogram; video surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6880-5
Type
conf
DOI
10.1109/iCECE.2010.465
Filename
5631321
Link To Document