Abstract
With the dramatic increasing of surveillance video data, it is required that the synopses extracted from video data be quickly explored. Video synopsis is a technology for quick browsing of a video by compressing object trajectories. However, extracting and rearranging the detected object trajectories is one of the difficult issues in generating video synopsis. In this paper, a method is proposed which used for solving the optimization problem of trajectory combination in generating video synopses. The method utilizes the temporal combination ways of trajectories to deal with the optimization problem of motion trajectory combination under the idea of genetic algorithm (GA). Experiment results show that combination of the trajectories based on GA is better than simulated annealing both in information loss and time consumption. Besides,GA is easier to be manipulated by computers.
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Acknowledgments
The work described in this paper was partially supported by the National Natural Science Foundation of China (Grant Nos. 91118005, 61173131), Program for Changjiang Scholars and Innovative Research Team in University (Grant No. IRT1196), and the Fundamental Research Funds for the Central Universities (Grant No. 106112013CDJZR090005).
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Xu, L., Liu, H., Yan, X. et al. Optimization method for trajectory combination in surveillance video synopsis based on genetic algorithm. J Ambient Intell Human Comput 6, 623–633 (2015). https://doi.org/10.1007/s12652-015-0278-7
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DOI: https://doi.org/10.1007/s12652-015-0278-7