NDLI: Automatic feature point extraction and tracking in image sequences for unknown camera motion

Content Provider	IEEE Xplore Digital Library
Author	Zheng, Q. Chellappa, R.
Copyright Year	1993
Description	Author affiliation: Center for Autom. Res., Maryland Univ., College Park, MD, USA (Zheng, Q.; Chellappa, R.)
Abstract	An automatic ego motion compensation based feature detection and correspondence algorithm is presented. For image sequences taken from a moving camera, feature displacement over consecutive frames can be approximately decomposed into two components: the displacement due to camera motion, which can be compensated for by image rotation, scaling, and translation; and the displacement due to object motion and/or perspective projection. The authors introduce a two-step approach. First, the motion of the camera is compensated for by using a computational vision based image registration algorithm. Then consecutive frames are transformed to the same coordinate system and the feature correspondence problem is solved as though for a stationary camera. Feature points are detected using a Gabor wavelet decomposition and a local interaction based algorithm. Methods for subpixel accuracy feature matching and tracking are introduced. Experimental results on a real image sequence are presented.<>
Starting Page	335
Ending Page	339
File Size	477816
Page Count	5
File Format	PDF
ISBN	0818638702
DOI	10.1109/ICCV.1993.378195
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-05-11
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Tracking Image sequences Cameras Computer vision Automation Motion compensation Motion detection Image registration Motion estimation
Content Type	Text
Resource Type	Article

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