Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
An efficient background updating scheme for real-time traffic monitoring
Background updating is an important problem in dynamic scene analysis. It is critical to be able to distinguish between long-term gradual changes in the background and short-term rapid changes resulting from moving objects in the scene. We propose an efficient background updating scheme for real-time traffic monitoring. In particular, we address the sleeping person problem, which arises frequently in the context of real-time traffic monitoring. The proposed scheme combines two levels of reasoning: low-level reasoning based on pixel status analysis and high-level reasoning based on moving object correspondence analysis. The proposed scheme is robust and fast enough to satisfy the real-time constraints of traffic monitoring.
An efficient background updating scheme for real-time traffic monitoring
Background updating is an important problem in dynamic scene analysis. It is critical to be able to distinguish between long-term gradual changes in the background and short-term rapid changes resulting from moving objects in the scene. We propose an efficient background updating scheme for real-time traffic monitoring. In particular, we address the sleeping person problem, which arises frequently in the context of real-time traffic monitoring. The proposed scheme combines two levels of reasoning: low-level reasoning based on pixel status analysis and high-level reasoning based on moving object correspondence analysis. The proposed scheme is robust and fast enough to satisfy the real-time constraints of traffic monitoring.
An efficient background updating scheme for real-time traffic monitoring
Bhandarkar, S.M. (Autor:in) / Luo, X. (Autor:in)
01.01.2004
543713 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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