A Disparity-Based Adaptive Multihomography Method for Moving Target Detection Based on Global Motion Compensation

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Moving target detection is an important technique in visual surveillance systems. If a camera is freely moving, it becomes more difficult to detect a moving target, especially in the environment of a wide-range background. To compensate for the global motion of a wide-range background, a disparity-based adaptive multi-homography method is proposed. The proposed method comprises four steps: 1) feature point extraction; 2) generation of adaptive multi-homography matrices using motion grouping; 3) generation of background model and detection of background; and 4) target detection. Experimental results show that the proposed method can robustly detect moving targets in sequences taken by a freely moving camera
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2016-08
Language
English
Article Type
Article
Keywords

BACKGROUND SUBTRACTION; OBJECT DETECTION; 3D SCENES; CAMERA; PARALLAX; MODEL

Citation

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v.26, no.8, pp.1407 - 1420

ISSN
1051-8215
DOI
10.1109/TCSVT.2015.2444711
URI
http://hdl.handle.net/10203/213898
Appears in Collection
EE-Journal Papers(저널논문)
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