• DocumentCode
    3594840
  • Title

    VIGOUR: a system for tracking and recognition of multiple people and their activities

  • Author

    Sherrah, Jamie ; Gong, Shaogang

  • Author_Institution
    Dept. of Comput. Sci., Queen Mary & Westfield Coll., London, UK
  • Volume
    1
  • fYear
    2000
  • fDate
    6/22/1905 12:00:00 AM
  • Firstpage
    179
  • Abstract
    Tracking multiple people and their behaviours is a fundamental task for visually mediated interaction. We present VIGOUR, a platform for simultaneously tracking of multiple people and recognition of their behaviours for high-level interpretation. Through perceptual integration, different types of visual information are fused to combine the benefits of different techniques. Robust low-level visual cues such as skin colour and motion are used to focus attention and facilitate real-time tracking. VIGOUR tracks behaviours using gestures and head pose to produce a high-level behaviour representation for subsequent interpretation. The system is able to track three people and recognise their gestures simultaneously in real time
  • Keywords
    gesture recognition; image recognition; real-time systems; tracking; VIGOUR; gestures; head pose; high-level interpretation; motion; person recognition; person tracking; real-time tracking; robust low-level visual cues; skin colour; visual information; visually mediated interaction; Biological system modeling; Face detection; Humans; Machine vision; Magnetic heads; Robustness; Skin; Support vector machine classification; Support vector machines; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.905299
  • Filename
    905299