DocumentCode :
2954063
Title :
An Approach for Intelligent Transportation Moving Shadow Detection via Perceptual Grouping and Texture Feature
Author :
Xu Jieqiong ; Wang Guoyu
Author_Institution :
Coll. of Inf. Sci. & Eng., Ocean Univ. of China, Qingdao, China
fYear :
2011
fDate :
30-31 July 2011
Firstpage :
1
Lastpage :
3
Abstract :
Perceptual grouping refers to the organization ability that visual system detect image features in accordance with certain cues. These cues include proximity, continuity, closure, etc. Object reorganization based on perceptual grouping methods have been successfully applied for image processing in varieties. However, in the actual application, due to the light, background and other external factors, the current perceptual grouping methods are not optimal to completely segment the moving shadow from the foreground .Investigations have shown that the texture feature are an effective way to recognize shadow . In this paper, we proposed a new approach for moving shadow detection by combining perceptual grouping with texture feature. Thereby both the complete shadow and vehicles are detected.
Keywords :
feature extraction; image texture; object detection; traffic engineering computing; image processing; intelligent transportation moving shadow detection; object reorganization; perceptual grouping; texture feature; Bismuth; Classification algorithms; Computer vision; Feature extraction; Image edge detection; Image segmentation; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
Type :
conf
DOI :
10.1109/ICCASE.2011.5997665
Filename :
5997665
Link To Document :
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