A phase discrepancy analysis of object motion

Authors:
Bolei Zhou;Xiaodi Hou;Liqing Zhang
Affiliations:
MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems, Dept. of Computer Science and Engineering, Shanghai Jiao Tong University and Dept. of Information Engineering, The C ...;Dept. of Computation and Neural Systems, California Institute of Technology;MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems, Dept. of Computer Science and Engineering, Shanghai Jiao Tong University
Venue:
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Year:
2010

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Abstract

Detecting moving objects against dynamic backgrounds remains a challenge in computer vision and robotics. This paper presents a surprisingly simple algorithm to detect objects in such conditions. Based on theoretic analysis, we show that 1) the displacement of the foreground and the background can be represented by the phase change of Fourier spectra, and 2) the motion of background objects can be extracted by Phase Discrepancy in an efficient and robust way. The algorithm does not rely on prior training on particular features or categories of an image and can be implemented in 9 lines of MATLAB code. In addition to the algorithm, we provide a new database for moving object detection with 20 video clips, 11 subjects and 4785 bounding boxes to be used as a public benchmark for algorithm evaluation.