Track Matching by Major Color Histograms Matching and Post-matching Integration

Abstract. In this paper we present a track matching algorithm based on the "major color" histograms matching and the post-matching integration useful for tracking a single object across multiple, limitedly disjoint cameras. First, the Major Color Spectrum Histogram (MCSH) is introduced to represent a moving object in a single frame by its most frequent colors only. Then, a twodirectional similarity measurement based on the MCHS is used to measure the similarity of any two given moving objects in single frames. Finally, our track matching algorithm extends the single-frame matching along the objects' tracks by a post-matching integration algorithm. Experimental results presented in this paper show the accuracy of the proposed track matching algorithm: the similarity of two tracks from the same moving objects has proved as high as 95%, while the similarity of two tracks from different moving objects has been kept as low as up to 28%. The postmatching integration step prove...

• Type: Conference
• Year: 2005
• Where: ICIAP
• Authors: Eric Dahai Cheng, Massimo Piccardi
• Keywords: ICIAP 2005, Image Processing, Post-matching Integration Algorithm, Single-frame Matching, Track Matching Algorithm