Optical flow and principal component analysis-based motion detection in outdoor videos

Authors:
Kui Liu;Qian Du;He Yang;Ben Ma
Affiliations:
Department of Electrical and Computer Engineering, Mississippi State University, MS;Department of Electrical and Computer Engineering, Mississippi State University, MS;Department of Electrical and Computer Engineering, Mississippi State University, MS;Department of Electrical and Computer Engineering, Mississippi State University, MS
Venue:
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Year:
2010

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Abstract

We propose a joint optical flow and principal component analysis (PCA) method for motion detection. PCA is used to analyze optical flows so that major optical flows corresponding to moving objects in a local window can be better extracted. This joint approach can efficiently detect moving objects and more successfully suppress small turbulence. It is particularly useful for motion detection from outdoor videos with low quality. It can also effectively delineate moving objects in both static and dynamic background. Experimental results demonstrate that this approach outperforms other existing methods by extracting the moving objects more completely with lower false alarms.