Title :
On Eliminating Static Shadow False Alarms in Automatic Incident Detection Systems
Author :
Shehata, Mohamed ; Pervez, Muzamil ; Burr, Tyson ; Cai, Jun ; Badawy, Wael ; Radmanesh, Ahmad
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta.
Abstract :
This paper presents an adaptive empirical algorithm which identifies static shadows within video sequences and produces static shadow maps that are used to improve the performance of video based automatic incident detection (AID) systems. The algorithm distinguishes between static shadows and other objects using background generation, motion detection, and three static shadow filters. The proposed algorithm has been tested on streams from 9 cameras to demonstrate its detection accuracy and robustness in varying lighting conditions
Keywords :
filtering theory; image motion analysis; image sequences; object detection; traffic engineering computing; video signal processing; adaptive empirical algorithm; automatic incident detection system; background generation; motion detection; static shadow false alarm; static shadow filter; static shadow map; video sequence; Cameras; Filters; Intelligent transportation systems; Motion detection; Object detection; Streaming media; Surface texture; Testing; Vehicles; Video sequences;
Conference_Titel :
Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0093-7
Electronic_ISBN :
1-4244-0094-5
DOI :
10.1109/ITSC.2006.1706833
