TY - GEN
T1 - 3D spatio-temporal graph cuts for video objects segmentation
AU - Tian, Zhiqiang
AU - Xue, Jianru
AU - Zheng, Nanning
AU - Lan, Xuguang
AU - Li, Ce
PY - 2011
Y1 - 2011
N2 - In this paper, we present a method to extract moving objects in monocular image sequences. The proposed method is based on graph cuts defined on a spatio-temporal region adjacency graph (RAG). First, we initially over-segment each frame in the video, and take the over-segmented regions as the vertices in the 3D spatio-temporal graph. Second, multiple cues are fused together to extract objects accurately. Finally, accurate foreground/background segmentation are efficiently achieved by binary graph cut. The experimental results showed that the proposed method improved the performance of segmentation with respect to the popular methods.
AB - In this paper, we present a method to extract moving objects in monocular image sequences. The proposed method is based on graph cuts defined on a spatio-temporal region adjacency graph (RAG). First, we initially over-segment each frame in the video, and take the over-segmented regions as the vertices in the 3D spatio-temporal graph. Second, multiple cues are fused together to extract objects accurately. Finally, accurate foreground/background segmentation are efficiently achieved by binary graph cut. The experimental results showed that the proposed method improved the performance of segmentation with respect to the popular methods.
KW - 3D spatio-temporal graph
KW - Graph cuts
KW - video objects segmentation
UR - https://www.scopus.com/pages/publications/84863077787
U2 - 10.1109/ICIP.2011.6116124
DO - 10.1109/ICIP.2011.6116124
M3 - 会议稿件
AN - SCOPUS:84863077787
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2393
EP - 2396
BT - ICIP 2011
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -