id: 05579493
dt: a
an: 05579493
au: Islam, Md.Zahidul; Oh, Chi-Min; Lee, Chil-Woo
ti: New integrated framework for video based moving object tracking.
so: Jacko, Julie A. (ed.), Human-computer interaction. Ambient, ubiquitous and
    intelligent interaction. 13th international conference, HCI
    International 2009, San Diego, CA, USA, July 19‒24, 2009.
    Proceedings, Part III. Berlin: Springer (ISBN 978-3-642-02579-2/pbk).
    Lecture Notes in Computer Science 5612, 423-432 (2009).
py: 2009
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-02580-8_46
ab: Summary: In this paper, we depict a novel approach to improve the moving
    object tracking system with particle filter using shape similarity and
    color histogram matching by a new integrated framework. The shape
    similarity between a template and estimated regions in the video
    sequences can be measured by their normalized cross-correlation of
    distance transformation image map. Observation model of the particle
    filter is based on shape from distance transformed edge features with
    concurrent effect of color information. The target object to be tracked
    forms the reference color window and its histogram are calculated,
    which is used to compute the histogram distance while performing a
    deterministic search for matching window. For both shape and color
    matching reference template window is created instantly by selecting
    any object in a video scene and updated in every frame. Experimental
    results have been offered to show the effectiveness of the proposed
    method.
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