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Communication Dans Un Congrès Année : 2006

Inverse Composition for Multi-kernel Tracking

Résumé

Existing multi-kernel tracking methods are based on a forwards additive motion model formulation. However this approach suffers from the need to estimate an update matrix for each iteration. This paper presents a general framework that extends the existing approach and that allows to introduce a new inverse compositional formulation which shifts the computation of the update matrix to a one time initialisation step. The proposed approach thus reduces the computational complexity of each iteration, compared to the existing forwards approach. The approaches are compared both in terms of algorithmic complexity and quality of the estimation.

Dates et versions

hal-00172117 , version 1 (14-09-2007)

Identifiants

Citer

Rémi Mégret, Mounia Mikram, Yannick Berthoumieu. Inverse Composition for Multi-kernel Tracking. 5th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2006, Dec 2006, Madurai, India. pp.480-491, ⟨10.1007/11949619_43⟩. ⟨hal-00172117⟩
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