KEYWORDS: Video, Video surveillance, Solar thermal energy, Cameras, 3D vision, Feature extraction, Lutetium, Computer engineering, Super resolution, Surveillance
We propose an efficient technique for temporally aligning video sequences of similar activities. The proposed technique is able to synchronize view-variance videos from different scenes performing similar 3-D activities. Unlike existing techniques that just consider unidirectional alignment, the proposed technique considers symmetric temporal alignment and computes the optimal alignment by eliminating any view-based bias. The advantages of our technique are validated by experiments conducted on synthetic and real video data. The experimental results show that the proposed technique out-performs existing techniques in several test video sequences.
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