Abstract
With the rapid growth of surveillance cameras and sensors, a need of smart video analysis and monitoring system is gradually increasing for browsing and storing a large amount of data. Traditional video analysis methods generate a summary of day long videos but maintaining the motion structure and interaction between object is of great concern to researchers. This paper presents an approach to produce video synopsis while preserving motion structure and object interactions. While condensing video, object appearance over spatial domain is maintained by considering its weight that preserve important activity portion and condense data related to regular events. The approach is tested in the context of condensation ratio while maintaining the interaction between objects. Experimental results over three video sequences show high condensation rate up to 11 %.
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Badal, T., Nain, N., Ahmed, M. (2017). Surveillance Video Synopsis While Preserving Object Motion Structure and Interaction. In: Raman, B., Kumar, S., Roy, P., Sen, D. (eds) Proceedings of International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 460. Springer, Singapore. https://doi.org/10.1007/978-981-10-2107-7_18
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DOI: https://doi.org/10.1007/978-981-10-2107-7_18
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