Paper
27 April 2001 Real-time video surveillance system architecture
Leonardo W. Estevez
Author Affiliations +
Proceedings Volume 4303, Real-Time Imaging V; (2001) https://doi.org/10.1117/12.424954
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
Abstract
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Leonardo W. Estevez "Real-time video surveillance system architecture", Proc. SPIE 4303, Real-Time Imaging V, (27 April 2001); https://doi.org/10.1117/12.424954
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Data processing

Video surveillance

Video

Motion models

Digital signal processing

Image processing

Lithium

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