TY - GEN
T1 - Motion detection with level set-based segmentation
AU - Lee, Suk Ho
AU - Choi, Nam Seok
AU - Kang, Moon Gi
PY - 2010
Y1 - 2010
N2 - In this paper, we propose a level set based object detection method for video surveillance which provides for a robust and real-time working object detection under various global illumination conditions. The proposed scheme needs no manual parameter settings for different illumination conditions, which makes the algorithm applicable to automatic surveillance systems. Two special filters are designed to eliminate the spurious object regions that occur due to the CCD noise, making the scheme stable even in very low illumination conditions. We demonstrate the effectiveness of the proposed algorithm experimentally with different illumination conditions, change of contrast, and noise level.
AB - In this paper, we propose a level set based object detection method for video surveillance which provides for a robust and real-time working object detection under various global illumination conditions. The proposed scheme needs no manual parameter settings for different illumination conditions, which makes the algorithm applicable to automatic surveillance systems. Two special filters are designed to eliminate the spurious object regions that occur due to the CCD noise, making the scheme stable even in very low illumination conditions. We demonstrate the effectiveness of the proposed algorithm experimentally with different illumination conditions, change of contrast, and noise level.
UR - http://www.scopus.com/inward/record.url?scp=77952038200&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952038200&partnerID=8YFLogxK
U2 - 10.1117/12.839159
DO - 10.1117/12.839159
M3 - Conference contribution
AN - SCOPUS:77952038200
SN - 9780819479310
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Proceedings of SPIE-IS and T Electronic Imaging - Image Processing
T2 - Image Processing: Machine Vision Applications III
Y2 - 19 January 2010 through 21 January 2010
ER -