NDLI: Model based motion estimation using constrained weighted least squares

Content Provider	IEEE Xplore Digital Library
Author	Shih-Ping Liou
Copyright Year	1994
Description	Author affiliation: Dept. of Imaging, Siemens Corp. Res. Inc., Princeton, NJ, USA (Shih-Ping Liou)
Abstract	Motion estimation from video sequences is important in many applications such as image coding, visual navigation, and security monitoring. The apparent deficit of existing methods have been their sensitivity to the presence of outliers and their limited ability to deal with multiple moving objects. In this paper, we present a motion estimator which models local image flow field using second-order polynomials with 6 parameters. We also show how constraints on the magnitude of image velocities as well as an the projective transformation can be used to better compute image flows even at the presence of outliers as well as the existence of multiple moving objects. Image flow results for several red video sequences show the robustness of this estimation scheme.
Starting Page	810
Ending Page	814
File Size	412016
Page Count	5
File Format	PDF
ISBN	0818669527
DOI	10.1109/ICIP.1994.413683
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-11-13
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion estimation Least squares approximation Video sequences Image coding Security Monitoring Polynomials Robustness Fluid flow measurement Motion measurement
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Model based motion estimation using constrained weighted least squares