Real time contour tracking with a new edge detector
Real-Time Imaging
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Visual tracking is prone to distractions, where features similar to the target features guide the track away from its intended object. Global shape models and dynamic models are necessary for completely distraction-free contour tracking, but there are cases when component feature trackers alone can be expected to avoid distraction. We define the tracking problem in general and devise a method for local, window-based, feature trackers to track accurately in spite of background distractions. The algorithm is applied to a generic line tracker and a snake-like contour tracker which are then analyzed with respect to previous contour-trackers. We discuss the advantages and disadvantages of our approach and suggest that existing model-based trackers can be improved by incorporating similar techniques at the local level.