Adaptive BP-RRC Mixture Model For Background Subtraction

摘要：

In the real-time segmentation of the moving objects in a image sequence, methods based on background subtraction are used widely. Bi-polar Radial Reach Correlation (BP-RRC) has realized robust background subtraction by evaluating a local texture per pixel, suppressing the influence of brightness change. However, this method has a fault that is affected by the local illumination change of a background. This paper proposes a robust and stabilized background subtraction algorithm which can cope with texture change of various illumination changes by improving this texture background model. We verified the proposed method using the image sequence including a loose lighting change and a rapid lighting change, and adaptability higher than the conventional method on the sudden illumination changes was attained as a result of verification.

关键词： background subtraction Texture Bi-polar Radial Reach Correlation BP-RRC Mixture Model

作者: Shinya Miyamori Kazunori Saito Yohei Fukumizu Hironori Yamauchi

作者单位: Ritsumeikan University Graduate School of Science and Engineerring 1-1-1 Noji-higashi Kusatsu-shi 525-8577 Shiga, Japan

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 1194-1197

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）