TY - GEN
T1 - Foreground object detection using two successive images
AU - Wang, Jung Ming
AU - Shen, Cherng
AU - Fuh, Chiou Shann
AU - Chen, Sei Wang
PY - 2008
Y1 - 2008
N2 - Detecting foreground object often need to face the problems of illumination change and image noise. In this paper, we propose an object detection method using two successive image frames. Illumination change would be very small in such short time, and then we can handle the first problem more easily. Image noise will confuse the detection of an object boundary. To handle this problem, we apply level set method to enclose the foreground object regions. The experiments show that our method can be applied to extract foreground objects in various environments and different cameras.
AB - Detecting foreground object often need to face the problems of illumination change and image noise. In this paper, we propose an object detection method using two successive image frames. Illumination change would be very small in such short time, and then we can handle the first problem more easily. Image noise will confuse the detection of an object boundary. To handle this problem, we apply level set method to enclose the foreground object regions. The experiments show that our method can be applied to extract foreground objects in various environments and different cameras.
UR - http://www.scopus.com/inward/record.url?scp=60849111399&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=60849111399&partnerID=8YFLogxK
U2 - 10.1109/AVSS.2008.25
DO - 10.1109/AVSS.2008.25
M3 - Conference contribution
AN - SCOPUS:60849111399
SN - 9780769533414
T3 - Proceedings - IEEE 5th International Conference on Advanced Video and Signal Based Surveillance, AVSS 2008
SP - 301
EP - 306
BT - Proceedings - IEEE 5th International Conference on Advanced Video and Signal Based Surveillance, AVSS 2008
T2 - IEEE 5th International Conference on Advanced Video and Signal Based Surveillance, AVSS 2008
Y2 - 1 September 2008 through 3 September 2008
ER -