This paper presents a new algorithm for color-based tracking of objects with radical color using modified Mean shift. Conventional color-based object tracking using mean shift does not provide appropriate result when initial color distribution disappears. In this proposed algorithm, Mean shift analysis is first used to derive the object candidate with maximum increase of density direction from current position. Then the proposed algorithm is used iteratively to update the object color information if the object color is changed. The implementation of the new algorithm achieves effective real-time tracking of objects with complete color changed by time. The validity of the effective approach is illustrated by the presentation of experimental results obtained using the methods described in the paper.

Date Published: 26 February 2007
PDF: 6 pages
Proc. SPIE 6496, Real-Time Image Processing 2007, 64960M (26 February 2007); doi: 10.1117/12.704026

Published in SPIE Proceedings Vol. 6496:
Real-Time Image Processing 2007
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)