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Communication Dans Un Congrès Année : 2015

A versatile object tracking algorithm combining Particle Filter and Generalised Hough Transform

Résumé

This paper introduces a new object tracking method which combines two algorithms working in parallel, and based on low-level observations (colour and gradient orientation): the Generalised Hough Transform, using a pixel-based description, and the Particle Filter, using a global description. The object model is updated by combining information from a back-projection map computed from the Generalised Hough Transform, providing for every pixel the degree to which it may belong to the object, and from the Particle Filter, providing a probability density on the global object position. The proposed tracker makes the most of the two algorithms, in terms of robustness to appearance variation like scaling, rotation, non-rigid deformation or illumination changes.
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Dates et versions

hal-01245118 , version 1 (17-12-2015)

Identifiants

  • HAL Id : hal-01245118 , version 1

Citer

Antoine Tran, Antoine Manzanera. A versatile object tracking algorithm combining Particle Filter and Generalised Hough Transform. International Conference on Image Processing Theory, Tools and Applications IPTA'15, Nov 2015, Orléans, France. ⟨hal-01245118⟩
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