Human body pose estimation with PSO

Spela Ivekovic, Emanuele Trucco

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

In this paper we describe the application of Particle Swarm Optimisation to the problem of human body pose estimation from multiple view video sequences. We use a subdivision body model with an underlying skeleton layer to estimate and illustrate the body pose. The optimisation looks for the best match between the silhouettes extracted from the original video sequence and the silhouettes generated by the projection of the model in a pose suggested by the PSO. The original PSO algorithm is applied hierarchically and combined with the full overall optimisation to decrease the effects of error propagation. Results demonstrate the ability of PSO to reliably recover the correct body pose from 4-viewpoint video sequences. © 2006 IEEE.

Original languageEnglish
Title of host publication2006 IEEE Congress on Evolutionary Computation, CEC 2006
Pages1256-1263
Number of pages8
Publication statusPublished - 2006
Event2006 IEEE Congress on Evolutionary Computation - Vancouver, BC, Canada
Duration: 16 Jul 200621 Jul 2006

Conference

Conference2006 IEEE Congress on Evolutionary Computation
Abbreviated titleCEC 2006
CountryCanada
CityVancouver, BC
Period16/07/0621/07/06

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  • Cite this

    Ivekovic, S., & Trucco, E. (2006). Human body pose estimation with PSO. In 2006 IEEE Congress on Evolutionary Computation, CEC 2006 (pp. 1256-1263)