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A joint optical flow and principal component analysis approach for motion detection

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4 Author(s)
Kui Liu ; Department of Electrical and Computer Engineering, Mississippi State University, 39762, USA ; He Yang ; Ben Ma ; Qian Du

Optical flow and its extensions have been widely used in motion detection and computer vision. In this paper, we apply principle component analysis (PCA) to analyze optical flows for better motion detection performance. The joint optical flow and PCA approach can efficiently detect moving objects and suppress small turbulence. It is effective in both static and dynamic background. It is particularly useful for motion detection from outdoor videos with low quality and small moving objects. Preliminary results demonstrate that this approach outperforms other existing methods by extracting the moving objects more completely with lower false alarms.

Published in:

2010 IEEE International Conference on Acoustics, Speech and Signal Processing

Date of Conference:

14-19 March 2010