Title :
Adaptive Vehicle Shadow Detection Algorithm in Highway
Author :
Yufeng He ; Jiatian Li ; Hua Wang ; Haixia Pu ; Rui Li
Author_Institution :
Fac. of Land Resource Eng., Kunming Univ. of Sci. & Technol., Kunming, China
Abstract :
Traditional shadow suppression method based on HSV color space was proved to be an effective method. However, shadow detection with fixed parameters does not meet the change of monitored scene. According to vehicle property and scene change by the shadow projection, this article proposed an adaptive detection algorithm to achieve proposes of adaptive shadow suppression without adjusts the threshold manually. Experiment result shows that, in the process of monitoring and tracking on the highway, this method can adaptively suppress the shadow in the condition of the scene change.
Keywords :
automated highways; image colour analysis; object detection; object tracking; road vehicles; traffic engineering computing; HSV color space; adaptive shadow suppression; adaptive vehicle shadow detection algorithm; highway; monitored scene; scene change; shadow projection; threshold adjustment; tracking; vehicle property; Accuracy; Algorithm design and analysis; Detection algorithms; Monitoring; Road transportation; Space vehicles; Adaptive; Image processing; Intelligent Transportation System; Shadow Detection; Vehicle Detection and Tracking;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.211