Simple object coordination tracking based on background modeling

In this paper, we propose a simple object tracking based on background modeling using histogram matching. Different from the existing block-based background modeling methods, most researches focus on a background subtraction. However, that includes a problem on visually object tracking and unreliabl...

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Bibliographic Details
Main Authors: Cho, Hyeong-Jun, Song, Sang-Hyeop, Kim, Jong-Hak, Solima, Solima, Dong Cho, Jun
Format: Conference Proceeding
Language:English
Subjects:
Adaptation models
Algorithms
background map
Block-based on modeling
Blocking
Frames
histogram matching
Histograms
labeling
Marking
Matching
Modelling
Parallel studio
Simple object tracking
Tracking
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Description
Summary:In this paper, we propose a simple object tracking based on background modeling using histogram matching. Different from the existing block-based background modeling methods, most researches focus on a background subtraction. However, that includes a problem on visually object tracking and unreliable coordinate information. In this work, we implement background modeling and generate `background map' to reduce processing time for labeling. Then, `background map' is used for labeling algorithm to find a foreground that find object coordination information each frame. In addition, we can track moving object between previous frame and current frame using histogram matching. In the real-time processing, for a 640*480 resolution video, processing time is within 19ms using parallel studio.
ISSN:2326-0262
2326-0319
DOI:10.1109/SPA.2015.7365143