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Video Segmentation using Joint Space-Time-Range Adaptive Mean Shift

Irene Y.H. Gu (Institutionen för signaler och system, Signalbehandling) ; Vasile Gui ; Zhifei Xu
To appear in "Advances in Multimedia Information Processing - PCM 2006", LNCS Vol. 4261, Springer, 2006 Vol. 4261 (2006),
[Konferensbidrag, refereegranskat]

Video segmentation has drawn increasing interest in multimedia applications. This paper proposes a novel joint space-time-range domain adaptive mean shift filter for video segmentation. In the proposed method, segmentation of moving/static objects/background is obtained through inter-frame mode-matching in consecutive frames and motion vector mode estimation. Newly appearing objects/regions in the current frame due to new foreground objects or uncovered background regions are segmented by intra-frame mode estimation. Simulations have been conducted to several image sequences, and results have shown the effectiveness and robustness of the proposed method. Further study is continued to evaluate the results.

Nyckelord: video segmentation, image segmentation, mean shift, joint space-time-range mean shift, inter-frame mode matching, intra-frame mode estimation, kernel density estimation.

Denna post skapades 2006-08-25.
CPL Pubid: 22066


Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling



Chalmers infrastruktur