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- W655307514 abstract "In this paper we present an algorithm for matching the appearance of two moving objects based on a matchingby-parts approach and a maximum likelihood criterion. We assume that the two moving objects to be matched are first extracted from videos by a preliminary foreground extraction-tracking step and our goal is that of matching their appearances. To this aim, we first consider the matching between single frames, one from each track. In order to increase the ability of discriminating between two different physical objects while keeping the matching rate of a single physical object high, each object is divided into N parts and then parts are matched in pairs. The appearance of each part is represented by a colour histogram (called MCSHR for short in the following) and a histogram similarity measure is used to compare two parts. The single-frame matching result is then obtained by fusing the similarities of each part matching. Later, 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 that the proposed similarity measurement is accurate at the single-frame level.and that the post-matching integration makes the overall matching more robust and reliable." @default.
- W655307514 created "2016-06-24" @default.
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- W655307514 date "2006-01-01" @default.
- W655307514 modified "2023-09-27" @default.
- W655307514 title "Matching Moving Objects by parts with a maximum likelihood criterion" @default.
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