DocumentCode :
2291464
Title :
Moving Shadow Removal Based on ILT
Author :
Yuan-yuan, Hu ; Rang-ding, Wang
Author_Institution :
CKC Software Lab., Ningbo Univ., Ningbo
fYear :
2008
fDate :
22-24 Sept. 2008
Firstpage :
127
Lastpage :
130
Abstract :
Moving shadows cause serious problem while segmenting and extracting foreground from video sequences, due to the misclassification of moving shadow as foreground. In order to detect the moving objects accurately, this paper proposes to remove the moving shadows based on the similarity between little textured patches. The potential shadow points are detected by analyzing the intensity and color properties firstly, and then, the shadow detection approach is improved by evaluating the textural similarity between the current frame and the corresponding background model. Experiment results on both indoor and outdoor scenes exhibit that the proposed method succeeds in removing shadows robustly and achieves the real-time performance.
Keywords :
feature extraction; image motion analysis; image segmentation; image sequences; image texture; object detection; video signal processing; color properties; foreground extraction; foreground segmentation; improved local texture; intensity; moving shadows; textural similarity; textured patches; video sequences; Computer vision; Dictionaries; Image color analysis; Image segmentation; Laboratories; Layout; Lighting; Object detection; Robustness; Video sequences; improved local texture; moving object detection; shadow removal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyberworlds, 2008 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-3381-0
Type :
conf
DOI :
10.1109/CW.2008.17
Filename :
4741289
Link To Document :
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