Full Body Tracking Using an Agent-based Architecture Conference Paper uri icon

abstract

  • We present an agent-based full body tracking and 3D animation system to generate motion data using stereo calibrated cameras. The novelty of our approach is that agents are bound to body-part (bone structure) being tracked. These agents are autonomous, self-aware entities that are capable of communicating with other agents to perform tracking within agent coalitions. Each agent seeks for "evidence" for its existence both from low-level features (e.g. motion vector fields, color blobs) as weD as from its peers (other agents representing body-parts with which it is compatible), and it also combines the knowledge from high-level abstraction. Multiple agents may represent different "candidates" for a body-part, and compete for a place within a coalition that constitutes the tracking of an articulated human body. The power of our approach is the flexibility by which domain information may be encoded within each agent to produce an overall tracking solution. We demonstrate the effectiveness of tracking system by testing actions (random moving and walking).

name of conference

  • 2008 37th IEEE Applied Imagery Pattern Recognition Workshop

published proceedings

  • 2008 37th IEEE Applied Imagery Pattern Recognition Workshop

altmetric score

  • 3

author list (cited authors)

  • Fang, B., Xie, L., Chung, P., Cao, Y., & Quek, F.

citation count

  • 1

complete list of authors

  • Fang, Bing||Xie, Liguang||Chung, Pak-Kiu||Cao, Yong||Quek, Francis

publication date

  • October 2008