TY - GEN
T1 - Fast background subtraction algorithm using two-level sampling and silhouette detection
AU - Lee, Dae Youn
AU - Ahn, Jae Kyun
AU - Kim, Chang-Su
PY - 2009
Y1 - 2009
N2 - An efficient background subtraction algorithm using two-level sampling and silhouette detection is proposed in this work. In the two-level sampling, we identify moving objects at the block level and then at the pixel level. Then, in the silhouette detection, around each sampled foreground pixel, we refine the shapes of foreground objects. We also develop two fast modes for the silhouette detection, which utilizes the spatio-temporal coherence of moving foreground objects. Simulation results demonstrate that the proposed algorithm provides accurate segmentation results without flickering artifacts, while requiring a low computational load.
AB - An efficient background subtraction algorithm using two-level sampling and silhouette detection is proposed in this work. In the two-level sampling, we identify moving objects at the block level and then at the pixel level. Then, in the silhouette detection, around each sampled foreground pixel, we refine the shapes of foreground objects. We also develop two fast modes for the silhouette detection, which utilizes the spatio-temporal coherence of moving foreground objects. Simulation results demonstrate that the proposed algorithm provides accurate segmentation results without flickering artifacts, while requiring a low computational load.
UR - http://www.scopus.com/inward/record.url?scp=77951969969&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2009.5414397
DO - 10.1109/ICIP.2009.5414397
M3 - Conference contribution
AN - SCOPUS:77951969969
SN - 9781424456543
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 3177
EP - 3180
BT - 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PB - IEEE Computer Society
T2 - 2009 IEEE International Conference on Image Processing, ICIP 2009
Y2 - 7 November 2009 through 12 November 2009
ER -