In this paper, a novel technique is proposed for temporal alignment of video sequences with similar motions acquired using uncalibrated cameras. In this technique, we model the motion-based video temporal alignment problem as a spatial-temporal discrete trajectory point sets alignment problem. The trajectory of the interested object is tracked though out the videos. A probabilistic method is then developed to calculate the spatial correspondence between trajectory point sets. Next, the dynamic time warping technique (DTW) is applied to the spatial correspondence information to compute the temporal alignment of the videos. The experimental results show that the proposed technique provides a superior performance over existing techniques for videos with planar motion.
['Cheng Lu', 'Mrinal K. Mandal']
An efficient technique for motion-based view-variant video sequences synchronization