Title :
A Robust Technique for Motion-Based Video Sequences Temporal Alignment
Author :
Lu, Cheng ; Mandal, Mrinal
Author_Institution :
Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
Abstract :
In this paper, we propose a robust technique for temporal alignment of video sequences with similar planar motions acquired using uncalibrated cameras. In this technique, we model the motion-based video temporal alignment problem as a spatio-temporal discrete trajectory point sets alignment problem. First, the trajectory of the object of interest is tracked throughout the videos. A probabilistic method is then developed to calculate the `soft´ spatial correspondence between the trajectory point sets. Next, a 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 similar trajectory patterns.
Keywords :
image motion analysis; image sequences; video signal processing; DTW; dynamic time warping technique; motion-based video sequences; motion-based video temporal alignment problem; planar motions; probabilistic method; soft spatial correspondence; spatial correspondence information; spatio-temporal discrete trajectory point sets alignment problem; trajectory patterns; uncalibrated cameras; Cameras; Feature extraction; Magnetic resonance imaging; Robustness; Synchronization; Trajectory; Video sequences; Video alignment; dynamic time warping; point sets alignment; temporal registration; video synchronization;
Journal_Title :
Multimedia, IEEE Transactions on
DOI :
10.1109/TMM.2012.2225036