| Paper: | IMDSP-P1.1 | ||
| Session: | Motion/Disparity Detection and Estimation | ||
| Time: | Tuesday, May 16, 10:30 - 12:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Motion Detection and Estimation | ||
| Title: | Motion Vector Smoothing For True Motion Estimation | ||
| Authors: | Hai Bing Yin, Xiang Zhong Fang, Hua Yang, Song Yu Yu, Xiao Kang Yang, Shanghai Jiao Tong University, China | ||
| Abstract: | This paper proposes a new motion vector (MV) smoothing algorithm to track the real motion in image sequences for MPEG video encoders. First, a pre-checking algorithm is employed to eliminate wrong motion vectors and preserve all possible motion vectors. For each block considered, the motion similarity between the neighboring blocks and the number of candidate motion vectors are jointly exploited to adaptively grow the filtering support, which is supposed to have homogeneous motion and sufficient spatial gradient. Then, all candidate motion vectors are checked within the corresponding filtering support using a new motion smoothness-constrained matching criteria. The simulation results show that the proposed filter can efficiently track the real motion resulting in smooth motion vector field. | ||
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