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Curious snakes: A minimum latency solution to the cluttered background problem in active contours

Curious snakes: A minimum latency solution to the cluttered background problem in active contours,10.1109/CVPR.2010.5540020,Ganesh Sundaramoorthi,Stef

Curious snakes: A minimum latency solution to the cluttered background problem in active contours   (Citations: 1)
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We present a region-based active contour detection algo- rithm for objects that exhibit relatively homogeneous pho- tometric characteristics (e.g. smooth color or gray levels), embedded in complex background clutter. Current methods either frame this problem in Bayesian classification terms, where precious modeling resources are expended represent- ing the complex background away from decision bound- aries, or use heuristics to limit the search to local regions around the object of interest. We propose an adaptive look- out region, whose size depends on the statistics of the data, that are estimated along with the boundary during the de- tection process. The result is a "curious snake" that ex- plores the outside of the decision boundary only locally to the extent necessary to achieve a good tradeoff between missed detections and narrowest "lookout" region, drawing inspiration from the literature of minimum-latency set-point change detection and robust statistics. This development makes fully automatic detection in complex backgrounds a realistic possibility for active contours, allowing us to ex- ploit their powerful geometric modeling capabilities com- pared with other approaches used for segmentation of clut- tered scenes. To this end, we introduce an automatic initial- ization method tailored to our model that overcomes one of the primary obstacles in using active contours for fully automatic object detection.
Conference: Computer Vision and Pattern Recognition - CVPR , pp. 2855-2862, 2010
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    • ...In [8] a semi-local region-based segmentation model is proposed that extends [4], using an adaptive lookout region, the so called “Curious Snakes”...
    • ...In [8] it is illustrated that good performance of the active contours in complex backgrounds can be achieved...
    • ...One possible way is to integrate the informative features herein described into a “Curious Snakes” based algorithm [8] which takes in consideration complex clutter...

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