Title :
Effects of foreground detection on probabilistic occupancy map tracking systems
Author :
Heng Luo ; Hui Yin ; Shuifa Sun ; Fangmin Dong ; Fang Han
Author_Institution :
Inst. of Intell. Vision & Image Inf., China Three Gorges Univ., Yichang, China
Abstract :
When there are serious occlusion and illumination change, Probabilistic Occupancy Map (POM) algorithm can track six more people simultaneously with multiple video streams. The output result of foreground detection will be the available input data in POM algorithm, so the performance of a foreground detection algorithm is very important for the entire POM algorithm. Presently, Gaussian mixture model (GMM) is a popular method for foreground detection. Visual background extractor (ViBe) improved by morphology algorithm can suppress the influence of the ghost that caused by shadows quickly and effectively. By using these foreground extraction algorithms to generate the foreground image, some error analysis experiments are carried out to explore the influence of foreground detection algorithm on the POM tracking algorithm in this paper. The experimental results show that POM can handle serious occlusion of multiple video sequences effectively and the morphology of ViBe improved algorithm outperforms GMM.
Keywords :
Gaussian processes; error analysis; image sequences; mixture models; probability; video streaming; GMM; Gaussian mixture model; POM tracking algorithm; ViBe improved algorithm; error analysis experiments; foreground detection algorithm; foreground extraction algorithms; morphology algorithm; probabilistic occupancy map tracking systems; video sequences; video streams; visual background extractor; Algorithm design and analysis; Cameras; Detection algorithms; Hidden Markov models; Morphology; Signal processing algorithms; Video sequences; POM algorithm; foreground detection; occlusions;
Conference_Titel :
Image and Signal Processing (CISP), 2014 7th International Congress on
Conference_Location :
Dalian
DOI :
10.1109/CISP.2014.7003747