NDLI: A novel motion vector outlier removal technique based on adaptive weighted vector median filtering for global motion estimation

Content Provider	IEEE Xplore Digital Library
Author	Okade, M. Biswas, P.K.
Copyright Year	2013
Description	Author affiliation: Dept. of Electron. & Commun. Eng., BVB Coll. of Eng. & Technol., Hubli, India (Okade, M.) \|\| Dept. of Electron. & Electr. Commun. Eng., Indian Inst. of Technol., Kharagpur, Kharagpur, India (Biswas, P.K.)
Abstract	In this paper we propose a novel motion vector outlier removal technique for global (camera) motion estimation based on adaptively weighted vector median filtering. The accuracy of motion vector based global motion estimation algorithms is highly dependent on the ability of the system to reject outlier motion vectors. The outlier motion vectors may be due to noise, foreground objects or due to the encoders compression requirements. Our idea is based on the premise that by minimizing the effect of outlier motion vectors, the efficiency of the global motion estimation algorithms can be improved. In our work, the adaptively weighted vector median filter is used to smoothen the motion vector field followed by comparison of the smoothed motion vector field with the input motion vector field to detect the outliers. The detected outliers are then excluded from the global motion estimation process to get a robust estimate of the camera motion parameters. We compare our proposed method with existing outlier rejection techniques using both synthetic as well as real video sequences to show the effectiveness of our proposed method.
Starting Page	1
Ending Page	5
File Size	1103774
Page Count	5
File Format	PDF
e-ISBN	9781479922758
DOI	10.1109/INDCON.2013.6726121
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-13
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	adaptive weighted median filter Motion estimation Video sequences block motion vectors Cameras Vectors Robustness outliers Mathematical model global motion estimation Equations
Content Type	Text
Resource Type	Article

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