Double-Trapezium Cylinder Codebook Model Based on YUV Color Model for Foreground Detection with Shadow and Highlight Suppression

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• 作者：Jin Huang ; Weidong Jin ; Duo Zhao ; Na Qin ; Qi Li
• 刊名：The Journal of VLSI Signal Processing
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：85
• 期：2
• 页码：221-233
• 全文大小：1,627 KB
• 刊物类别：Engineering
• 刊物主题：Electrical Engineering
  Circuits and Systems
  Computer Imaging, Vision, Pattern Recognition and Graphics
  Computer Systems Organization and Communication Networks
  Signal,Image and Speech Processing
  Mathematics of Computing
  
• 出版者：Springer New York
• ISSN：1939-8115
• 卷排序：85

文摘

In order to solve the problem of existences of shadows and highlights for foreground detection in intelligent visual surveillance, Double-Trapezium Cylinder Codebook model based on YUV color model (DTCC_YUV) is proposed. First the shadow detection area is located in the lower part of the model based on the low luminance characteristic of shadows compared with backgrounds. An erected trapezium cylinder is constructed as the structure of the shadow detection area based on the variable chrominance characteristic of shadows. Second the highlight detection area is located in the upper part of the model based on the high luminance characteristic of highlights compared with backgrounds. An inverted trapezium cylinder is constructed as the structure of the highlight detection area based on the variable chrominance characteristic of highlights. Finally the main background area is constructed using a cylinder structure in the middle part of the model and then DTCC_YUV model is constructed completely. The experimental results show that DTCC_YUV model achieves high real-time performance with the fact that its average frame rate is about 22.53 frames per second which is higher than that of CBM, HC3, iGMM, GCBM, MCBS and HPB with 94.35 %, 146.71 %, 161.66 %, 145.56 %, 30.04 % and 17.88 % respectively. Also DTCC_YUV model achieves high shadow suppression performance with the fact that its average shadow suppression rate is about 59.35 % which is higher than that of CBM, HC3, iGMM, GCBM, MCBS and HPB with 6.59 %, 92.84 %, 413.16 %, 232.39 %, 27.35 % and 38.00 % respectively. At the same time DTCC_YUV model achieves high highlight suppression performance with the fact that its average highlight suppression rate is about 85.86 % which is higher than that of CBM, HC3, iGMM, GCBM, MCBS and HPB with 6.29 %, 17.92 %, 16.74 %, 152.00 %, 9.76 % and 12.59 % respectively.KeywordsImage motion analysisForeground detectionShadowHighlightYUVCodebook