TY - GEN
T1 - Accurate foreground extraction using graph cut with trimap estimation
AU - Ahn, Jung Ho
AU - Byun, Hyeran
PY - 2006
Y1 - 2006
N2 - This paper describes an accurate human silhouette extraction method as applied to video sequences. In computer vision applications that use a static camera, the background subtraction method is one of the most effective ways of extracting human silhouettes. However it is prone to errors so performance of silhouette-based gait and gesture recognition often decreases significantly. In this paper we propose two-step segmentation method: trimap estimation and fine segmentation using a graph cut. We first estimated foreground, background and unknown regions with an acceptable level of confidence. Then, the energy function was identified by focussing on the unknown region, and it was minimized via the graph cut method to achieve optimal segmentation. The proposed algorithm was evaluated with respect to ground truth data and it was shown to produce high quality human silhouettes.
AB - This paper describes an accurate human silhouette extraction method as applied to video sequences. In computer vision applications that use a static camera, the background subtraction method is one of the most effective ways of extracting human silhouettes. However it is prone to errors so performance of silhouette-based gait and gesture recognition often decreases significantly. In this paper we propose two-step segmentation method: trimap estimation and fine segmentation using a graph cut. We first estimated foreground, background and unknown regions with an acceptable level of confidence. Then, the energy function was identified by focussing on the unknown region, and it was minimized via the graph cut method to achieve optimal segmentation. The proposed algorithm was evaluated with respect to ground truth data and it was shown to produce high quality human silhouettes.
UR - http://www.scopus.com/inward/record.url?scp=60949094075&partnerID=8YFLogxK
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U2 - 10.1007/11949534_120
DO - 10.1007/11949534_120
M3 - Conference contribution
AN - SCOPUS:60949094075
SN - 354068297X
SN - 9783540682974
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1185
EP - 1194
BT - Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings
PB - Springer Verlag
T2 - 1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006
Y2 - 10 December 2006 through 13 December 2006
ER -