video analysis framework

VAF – Video Analysis Framework, Applied for Surveillance System

maf

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. Here 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

System for Motion Analysis based on Level Sets

N. Suvonvorn and B. Zavidovique, (2009), System for Motion Analysis based on Level Sets, Journal on Image and Vision Computing – Elsevier (IMVIS), Submitted

A Video Analysis Framework for Surveillance System

mmsp08

N. Suvonvorn, (2008), A Video Analysis Framework for Surveillance System, In Proceedings of IEEE 10th International Workshop on Multimedia Signal Processing, October 8-10, 2008, Cairns, Queensland, Australia, p.867-871. ISBN: 978-1-4244-2294-4.

A Generic Surveillance System

eng8

N. Suvonvorn, (2008), A Generic Surveillance System, In Proceedings of 6th PSUEngineering Conference, May 8-9, 2008, Hat Yai, Songkhla, Thailand, p.204-208.