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In this paper, we propose a novel target contour tracking method under sophisticated background using the multiple cues-based active contour model. To locate the target position, a contour-based mean-shift tracker is designed which combines both color and texture information. To reduce the adverse impact of sophisticated background and also accelerate the curve motion, we propose a two-layer-based...
This paper presents a novel on-line AdaBoost based discriminative active contour tracking framework (ADACT) using level sets. First we build an on-line AdaBoost based appearance model to track and extract the rough target region, which provides important discriminative clues for our active contour model. Integrating with both edge and discriminative region information, a new active contour model is...
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