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Article Dans Une Revue Pattern Recognition Letters Année : 1995

Active contours approach to object tracking in image sequences with complex background

Résumé

Active contour models (“snakes”) are a powerful tool for deformable object tracking in moving images. But the existing snake models are not well-adapted for tracking corners and objects on a complex background. In this paper, we present a novel active contour model, the “Adjustable Polygons”, which is a set of active segments that can fit any object shape (including comers). A new energy based on textural characteristics of objects is also proposed, in order to resolve conflict situations while tracking objects on multiple contour background.

Dates et versions

hal-01441619 , version 1 (19-01-2017)

Identifiants

Citer

Philippe Delagnes, Jenny Benois, Dominique Barba. Active contours approach to object tracking in image sequences with complex background. Pattern Recognition Letters, 1995, Pattern Recognition Letters, 16 (2), pp.171 - 178. ⟨10.1016/0167-8655(94)00086-I⟩. ⟨hal-01441619⟩

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