Video Segmentation using Joint Space-Time-Range Adaptive Mean Shift
Paper in proceeding, 2006

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.

joint space-time-range mean shift

inter-frame mode matching

intra-frame mode estimation

image segmentation

kernel density estimation.

mean shift

video segmentation


Irene Yu-Hua Gu

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Vasile Gui

Zhifei Xu

To appear in "Advances in Multimedia Information Processing - PCM 2006", LNCS Vol. 4261, Springer, 2006

Vol. 4261

Subject Categories

Signal Processing

Computer Vision and Robotics (Autonomous Systems)

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