Proceedings PaperReal-time video surveillance system architecture
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This paper presents some approaches intended to maximize the available processor bandwidth of a real time video surveillance system. The techniques approach this goal from data centric and process centric perspectives. Data vectorization focuses on organizing and transformign data to more efficiently process it. Some cache considerations and compressed data analysis techniques are therefore reviewed. Dynamic scheduling focuses on using application specific information to reduce the iterations are complexity of repeated processes. Some novel applications of these techniques to video tracking gand recognition are presented. Some implementation examples are also provided indicating that the trade-offs in such an implementation are economically viable.