TY - GEN
T1 - Real-time segmentation of objects from video sequences with non-stationary backgrounds using spatio-temporal coherence
AU - Ahn, Jae Kyun
AU - Kim, Chang-Su
PY - 2008
Y1 - 2008
N2 - A real-time video segmentation algorithm, which can extract objects from video sequences even with non-stationary backgrounds, is proposed in this work. First, we segment the first frame into an object and a background interactively to build the probability density functions of colors in the object and the background. Then, for each subsequent frame, we construct a coherence strip, which is likely to contain the object contour, by exploiting spatio-temporal correlations. Finally, we perform the segmentation by minimizing an energy function composed of color, coherence, and smoothness terms. Experimental results on various test sequences show that the proposed algorithm provides accurate segmentation results in real-time, even though video sequences contain unstable camera motions.
AB - A real-time video segmentation algorithm, which can extract objects from video sequences even with non-stationary backgrounds, is proposed in this work. First, we segment the first frame into an object and a background interactively to build the probability density functions of colors in the object and the background. Then, for each subsequent frame, we construct a coherence strip, which is likely to contain the object contour, by exploiting spatio-temporal correlations. Finally, we perform the segmentation by minimizing an energy function composed of color, coherence, and smoothness terms. Experimental results on various test sequences show that the proposed algorithm provides accurate segmentation results in real-time, even though video sequences contain unstable camera motions.
KW - Graph cut
KW - Kernel density estimation
KW - Segmentation
KW - Spatio-temporal coherence
KW - Video object
UR - http://www.scopus.com/inward/record.url?scp=69949144745&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=69949144745&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2008.4712062
DO - 10.1109/ICIP.2008.4712062
M3 - Conference contribution
AN - SCOPUS:69949144745
SN - 1424417643
SN - 9781424417643
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1544
EP - 1547
BT - 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
T2 - 2008 IEEE International Conference on Image Processing, ICIP 2008
Y2 - 12 October 2008 through 15 October 2008
ER -