Open AccessObject Modeling with Color Arrangement for Region‐Based Tracking
Author(s) -
Kim DaeHwan,
Jung SeungWon,
Lee SeungJun,
Kim HyoKak,
Ko SungJea
Publication year - 2012
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.12.0111.0383
Subject(s) - bhattacharyya distance , artificial intelligence , computer vision , color histogram , mean shift , color normalization , object (grammar) , tracking (education) , histogram , computer science , video tracking , color model , bin , pattern recognition (psychology) , color image , color space , image (mathematics) , algorithm , image processing , psychology , pedagogy
In this paper, we propose a new color histogram model for object tracking. The proposed model incorporates the color arrangement of the target that encodes the relative spatial distribution of the colors inside the object. Using the color arrangement, we can determine which color bin is more reliable for tracking. Based on the proposed color histogram model, we derive a mean shift framework using a modified Bhattacharyya distance. In addition, we present a method of updating an object scale and a target model to cope with changes in the target appearance. Unlike conventional mean shift based methods, our algorithm produces satisfactory results even when the object being tracked shares similar colors with the background.