Abstract
A major problem in surveillance systems is the storage requirements for video archival; videos are recorded continuously for long periods of time, resulting in large amounts of data. Therefore, it is essential to apply efficient compression techniques. Additionally, it is useful to be able to index the archived videos based on events. In general, such events are defined by the interaction among moving objects in the scene. Consequently, besides data compression, efficient ways of storing moving objects should be considered. We present a method that exploits both temporal and spatial redundancy of videos captured from static cameras to perform compression and subsequently allows fast retrieval of moving object locations directly from the compressed data. Experimental results show that the approach achieves high compression ratios compared to other existing video compression techniques without significant quality degradation and is fast due to the simplicity of the operations required for compression and decompression.
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Schwartz, W.R., Pedrini, H., Davis, L.S. (2009). Video Compression and Retrieval of Moving Object Location Applied to Surveillance. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2009. Lecture Notes in Computer Science, vol 5627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02611-9_89
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DOI: https://doi.org/10.1007/978-3-642-02611-9_89
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02610-2
Online ISBN: 978-3-642-02611-9
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