Abstract
Now-a-days, the application of the lane surveillance system increases quickly, for example, it is widely settled at the entrance of highways and toll booths to strengthen the traffic management and survey the public security. Accordingly, the size of the captured video data increases over time. So, it is quite important to study how to manage this video data and how to extract useful information from this large amount of video data. In order to process huge volume of data efficiently in traffic video surveillance system, it is very necessary and important to build a highly efficient video management system which uses advanced video compression techniques. This paper presents an improved video management system for lane supervision, which aims at maintaining the traffic surveillance video by analyzing and storing it in such a compressed form that it reduces a considerable amount of storage space and in the mean time also keeps all the information required for the surveillance purposes.
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