Moving object detection in videos from hand-held camera

Chenlu Zhang; Wei Ge; Bin Xue

doi:10.1117/12.2502989

9 August 2018 Moving object detection in videos from hand-held camera

Chenlu Zhang, Wei Ge, Bin Xue

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 1080611 (2018) https://doi.org/10.1117/12.2502989
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

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.

Citation Download Citation

Chenlu Zhang, Wei Ge, and Bin Xue "Moving object detection in videos from hand-held camera", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080611 (9 August 2018); https://doi.org/10.1117/12.2502989

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KEYWORDS

Video

Cameras

Detection and tracking algorithms

Fermium

Frequency modulation

Feature extraction

Motion models

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