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Communication Dans Un Congrès Année : 2013

Hierarchical Annealed Particle Swarm Optimization for Articulated Object Tracking

Xuan Son Nguyen
  • Fonction : Auteur
  • PersonId : 971988
Christophe Gonzales

Résumé

In this paper, we propose a novel algorithm for articulated object tracking, based on a hierarchical search and particle swarm optimization. Our approach aims to reduce the complexity induced by the high dimensional state space in articulated object tracking by decomposing the search space into subspaces and then using particle swarms to optimize over these subspaces hierarchically. Moreover, the intelligent search strategy proposed in [20] is integrated into each optimization step to provide a robust tracking algorithm under noisy observation conditions. Our quantitative and qualitative analysis both on synthetic and real video sequences show the efficiency of the proposed approach compared to other existing competitive tracking methods.

Dates et versions

hal-01219699 , version 1 (23-10-2015)

Identifiants

Citer

Xuan Son Nguyen, Séverine Dubuisson, Christophe Gonzales. Hierarchical Annealed Particle Swarm Optimization for Articulated Object Tracking. 15th International Conference on Computer Analysis of Images and Patterns, CAIP 2013, Aug 2013, York, United Kingdom. pp.319-326, ⟨10.1007/978-3-642-40261-6_38⟩. ⟨hal-01219699⟩
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