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Two Statistical Measures of Similarity for Object Association and Tracking in Color Image Sequences

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1 Author(s)
Kennedy, H.L. ; Technical Knockout Systems Pty. Ltd., LPO Box 8150, ANU Acton, ACT 0200, Australia; hkennedy@tkosystems.com.au

Two statistical measures of similarity, for data association and tracking moving objects in sequences of color images, are derived and their performance is compared with normalized cross-correlation. Both methods use an F-distributed test statistic in a hypothesis test, which permits association thresholds to be set to give the desired (theoretical) false-association rate. One of the methods matches the performance of normalized cross-correlation, in the test data used, and is computationally less expensive.

Published in:

Image Processing, 2007. ICIP 2007. IEEE International Conference on  (Volume:2 )

Date of Conference:

Sept. 16 2007-Oct. 19 2007