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A Comparison of Different Approaches to Nonlinear Shift Estimation for Object Tracking

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2 Author(s)
Asadi, M. ; Genoa Univ., Genoa ; Regazzoni, C.S.

This paper presents a corner based voting method for estimating the object shift in video image frames. Information about the corners distribution around a reference point is used to represent the object shape and then to find the most probable target position in the next frame. Tracking is done through using a voting space obtained by matching corners information. A motion vector for the reference point is nonlinearly estimated with three different strategies by using the global information of the matched corners. The results show a comparison between three considered strategies for estimating the object shift.

Published in:

Image Processing, 2007. ICIP 2007. IEEE International Conference on  (Volume:3 )

Date of Conference:

Sept. 16 2007-Oct. 19 2007

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