Robust moving object detection against fast illumination change |
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| Authors: | JinMin Choi Hyung Jin Chang Yung Jun Yoo Jin Young Choi |
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| Affiliation: | 1. School of Astronautics, Harbin Institute of Technology, 92, West Dazhi Street, 150001 Harbin, China;2. School of Computer Science and Technology, Harbin Institute of Technology, 92, West Dazhi Street, 150001 Harbin, China;1. Department of Perinatology and Gynecology, Kagawa University Graduate School of Medicine, Miki, Japan;2. Department of Obstetrics and Gynecology, Amang Rodriguez Memorial Medical Center, Markina City, Philippines;1. IMFT (Institut de Mécanique des Fluides de Toulouse), UMR 5502 CNRS and Université de Toulouse (INPT, UPS), Allée Camille Soula, Toulouse F-31400, France;2. Fédération de recherche Fermat FR3089, Toulouse, France;3. ISIT (Image Science for Interventional Techniques), UMR 6284 CNRS and Clermont Université (UdA), BP 10448, F-63000 Clermont-Ferrand, France;1. Department of Optics and Optical Engineering, Anhui Key Laboratory of Optoelectronic Science and Technology, University of Science and Technology of China, Hefei, Anhui, 230026, China;2. Department of Physics, Physical Engineering and Optics, University Laval, Sainte-Foy, Quebec, G1K 7P4, Canada |
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| Abstract: | To solve the problem due to fast illumination change in a visual surveillance system, we propose a novel moving object detection algorithm for which we develop an illumination change model, a chromaticity difference model, and a brightness ratio model. When fast illumination change occurs, background pixels as well as moving object pixels are detected as foreground pixels. To separate detected foreground pixels into moving object pixels and false foreground pixels, we develop a chromaticity difference model and a brightness ratio model that estimates the intensity difference and intensity ratio of false foreground pixels, respectively. These models are based on the proposed illumination change model. Based on experimental results, the proposed method shows excellent performance under various illumination change conditions while operating in real-time. |
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