We present a robust geometric active contour model to track targets in video sequences captured from mobile cameras.
The target's contour is tracked on each frame of the sequence by regional information. The regional information is
calculated by color histogram. The matching criterion is formulated by minimizing the Bhattacharyya coefficient
between the color histogram of reference target and that of the background. The contour's evolution is implemented
using the geometric active contour algorithm and the level set method. For each frame coming from the sequence,
motion estimation is done before the contour evolution process. To make so, Kalman prediction and template matching
are performed as the motion estimation technique to locate the region of interest (ROI). The robustness and effectiveness
of the proposed algorithm is demonstrated on real sequences.