Correlogram-based Perceptual Similarity in Vehicle Probabilistic Tracking

摘要：

　　This paper addresses the problem of dissimilarity measurement and incorporates an auto-correlogram operator into probabilistic tracking.Perceptual similarity measurement based upon color correlogram is proposed to weigh the candidates and obtain the expectation state vector of tracked vehicles.The object color is represented in perceptually better-organized HSV color space,which produced improvement over the original method that used in the RGB color space.Properly quantized HSV color space improved the efficiency of auto-correlogram computation and robustness to changes in color content and variations in illumination.Experimental results demonstrate that the efficiency of HSV color correlogram in weighing samples is better than that ofRGB auto-correlogram and HSV color histogram in traffic scene applications.

关键词： Perceptual Similarity Measure Color Correlogram Probabilistic Tracking Image Processing Application Particle Filtering

作者: Yanfen Mao Ming Chen

作者单位: Automotive Engineering & Service, Sino-German College of Applied Sciences,Tongji University, Shanghai 201804, China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 3860-3864

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）