Abstract
This paper presents a 3D active contour model for boundary tracking, motion analysis and position prediction of non-rigid objects, which applies stereo vision and velocity control to the class of deformable contour models, known as snakes. The proposed contour evolves in three dimensional space in reaction to a 3D potential function, which is derived by projecting the contour onto the 2D stereo images. The potential function is augmented by a velocity term, which is related to the three dimensional velocity field along the contour, and is used to guide the contour displacement between subsequent images. This leads to improved spatio-temporal tracking performance, which is demonstrated through experimental results with real and synthetic images. Good tracking performance is obtained with as little as one iteration per frame, which provides a considerable advantage for real time operation.
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© 2000 Springer-Verlag Berlin Heidelberg
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Zaritsky, R., Peterfreund, N., Shimkin, N. (2000). Velocity-Guided Tracking of Deformable Contours in Three Dimensional Space. In: Computer Vision - ECCV 2000. ECCV 2000. Lecture Notes in Computer Science, vol 1842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45054-8_17
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DOI: https://doi.org/10.1007/3-540-45054-8_17
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