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

Abstract : 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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https://hal.archives-ouvertes.fr/hal-01245118
Contributor : Antoine Manzanera <>
Submitted on : Thursday, December 17, 2015 - 11:57:37 AM
Last modification on : Wednesday, July 3, 2019 - 10:48:05 AM
Long-term archiving on: : Friday, March 18, 2016 - 11:16:39 AM

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  • HAL Id : hal-01245118, version 1

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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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