In a video surveillance system, moving object detection is the most challenging problem especially if the system is applied in complex environments with variable lighting, dynamic and articulate scenes, etc.. Furthermore, a video surveillance system is a real-time application, so discouraging the use of good, but computationally expensive, solutions. This paper presents a set of improvements of a basic background subtraction algorithm that are suitable for video surveillance applications. Besides we present a new evaluation scheme never used in the context of moving object detection algorithms. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Conte, D., Foggia, P., Petretta, M., Tufano, F., & Vento, M. (2005). Evaluation and improvements of a real-time background subtraction method. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3656 LNCS, pp. 1234–1241). https://doi.org/10.1007/11559573_149
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