Title :
A video analysis framework for surveillance system
Author :
Suvonvorn, Nikom
Author_Institution :
Dept. of Comput. Eng., Prince of Songkla Univ., Songkhla
Abstract :
An on-line video processing for surveillance system is a very challenging problem. The computational complexity of video analysis algorithms and the massive amount of data to be analyzed must be considered under real-time constraints. Moreover it needs to satisfy different criteria of application domain, such as, scalability, re-configurability, and quality of service. In this paper we propose a flexible/efficient video analysis framework for surveillance system which is a component-based architecture. The video acquisition, re-configurable video analysis, and video storage are some of the basic components. The component execution and inter-components synchronization are designed for supporting the multi-cores and multi-processors architecture with multi-threading implementation on .NET Framework. Experimental results on real-time motion tracking are presented with discussion.
Keywords :
computational complexity; video surveillance; .NET framework; component execution; component-based architecture; computational complexity; intercomponent synchronization; motion tracking; multicore architecture; multiprocessors architecture; multithreading implementation; online video processing; quality of service; reconfigurable video analysis; surveillance system; video acquisition; video analysis framework; video storage; Algorithm design and analysis; Cameras; Independent component analysis; Quality of service; Real time systems; Resource management; Scalability; Sensor systems; Tracking; Video surveillance;
Conference_Titel :
Multimedia Signal Processing, 2008 IEEE 10th Workshop on
Conference_Location :
Cairns, Qld
Print_ISBN :
978-1-4244-2294-4
Electronic_ISBN :
978-1-4244-2295-1
DOI :
10.1109/MMSP.2008.4665195