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Moving object detection in videos from hand-held camera
Author(s): Chenlu Zhang; Wei Ge; Bin Xue
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Paper Abstract

Videos taken by hand-held camera easily contain both motion and jitter, which can result in a large number of false detections of moving object detection and achieve poor performance. In this paper, we propose a moving object detection algorithm adapted to videos from hand-held camera. The proposed algorithm uses the optical flow method to perform motion estimation and motion compensation on the videos. So the interferences caused by hand-held camera can be reduced. Then we establish background model to detect the moving object. The proposed algorithm is verified with videos from hand-held camera and compared with several state-of-the-art algorithms. Experimental results demonstrate that the proposed algorithm is effective for moving object detection in videos from hand-held camera.

Paper Details

Date Published: 9 August 2018
PDF: 6 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080611 (9 August 2018); doi: 10.1117/12.2502989
Show Author Affiliations
Chenlu Zhang, Xi'an Institute of Optics and Precision Mechanics, CAS (China)
Univ. of Chinese Academy of Sciences (China)
Wei Ge, Xi'an Institute of Optics and Precision Mechanics, CAS (China)
Bin Xue, Xi'an Institute of Optics and Precision Mechanics, CAS (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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