2015 Ninth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS) (2015)
Santa Catarina, Brazil
July 8, 2015 to July 10, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CISIS.2015.23
This paper deals with the background maintenance problem and proposes a novel pixel-wise solution. The proposed backgroud maintenance algorithm is histogram-based. The algorithm has the following main features: fast background initialization, high accuracy in describing the real background and fast reaction to sudden changes. The basic idea of our algorithm is that the pixels are updated only if a statistic measure on the intensity variations of each pixels is greater to an adaptive threshold, thus reducing the I/O channel occupation. Experimental results on dynamic scenes taken from a fixed camera show that the proposed algorithm produces background images with an improved quality with respect to classical pixel-wise algorithms.
Histograms, Image color analysis, Computational modeling, Heuristic algorithms, Maintenance engineering, Adaptation models, Image reconstruction
A. Cuzzocrea, E. Mumolo, A. Moro and K. Umeda, "Effective and Efficient Moving Object Segmentation via an Innovative Statistical Approach," 2015 Ninth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS), Santa Catarina, Brazil, 2015, pp. 172-178.