Articulated human motion tracking with HPSO

Vijay John, Spela Ivekovic, Emanuele Trucco

    Research output: Chapter in Book/Report/Conference proceedingChapter

    7 Citations (Scopus)


    In this paper, we address full-body articulated human motion tracking from multi-view video sequences acquired in a studio environment. The tracking is formulated as a multi-dimensional nonlinear optimisation and solved using particle swarm optimisation (PSO), a swarm-intelligence algorithm which has gained popularity in recent years due to its ability to solve difficult nonlinear optimisation problems. Our tracking approach is designed to address the limits of particle filtering approaches: it initialises automatically, removes the need for a sequence-specific motion model and recovers from temporary tracking divergence through the use of a powerful hierarchical search algorithm (HPSO). We quantitatively compare the performance of HPSO with that of the particle filter (PF) and annealed particle filter (APF). Our test results, obtained using the framework proposed by (Balan et al., 2005) to compare articulated body tracking algorithms, show that HPSO's pose estimation accuracy and consistency is better than PF and compares favourably with the APF, outperforming it in sequences with sudden and fast motion.
    Original languageEnglish
    Title of host publicationVISAPP 2009
    Subtitle of host publicationproceedings of the 4th International Conference on Computer Vision Theory and Applications
    EditorsAlpesh Ranchordas, Helder Araujo
    PublisherInstitute for Systems and Technologies of Information, Control and Communication
    Number of pages8
    ISBN (Print)9789898111692
    Publication statusPublished - 2009
    Event4th International Conference on Computer Vision Theory and Applications - Lisboa, Lisbon, Portugal
    Duration: 5 Feb 20098 Feb 2009


    Conference4th International Conference on Computer Vision Theory and Applications
    Abbreviated titleVISAPP 2009
    Internet address


    Dive into the research topics of 'Articulated human motion tracking with HPSO'. Together they form a unique fingerprint.

    Cite this