An accurate region based object tracking for video sequences
Dongxiang Xu, Jenq–Neng Hwang, Jun Yu · 1999
With the popularity of MPEG-4 and MPEG-7 standards, video object (VO) segmentation becomes a very challenging research area in video applications. We present a novel method for semi-automatic object segmentation for a video sequence. The proposed approach starts with a rough user input VO definition. It then combines each frame's region segmentation and motion estimation results to construct the objects of interest for temporal tracking this object along the time. An active contour model based algorithm is employed to further fine-tune the object's contour so as to extract accurate object boundary. Some experimental results and future research directions are also discussed.