Hand tracking using agent-based framework Conference Paper uri icon

abstract

  • We present an agent-based framework for human hand and head tracking. The benefits of this architecture are that it simplifies system organization, facilitates flexible extension, and supports hierarchical abstraction. The framework employs low-level processing agents that computes motion- vector clusters, skin-color patches and edge. Mid-level agents fuse the features computed into hand and head candidates. Finally, high-level agents select among these candidates to yield consistent interpretations of hand and head groupings. Hence more domain-specific knowledge is encoded into the agents as we ascend the agent hierarchy. We demonstrate the effectiveness of our system by defining a set of gestures (move, zoom, and rotate) that were recognized and tracked. 2008 The Institution of Engineering and Technology.

name of conference

  • 5th International Conference on Visual Information Engineering (VIE 2008)

published proceedings

  • 5th International Conference on Visual Information Engineering (VIE 2008)

author list (cited authors)

  • Bing Fang, .., Pak-Kiu Chung, .., & Quek, F.

citation count

  • 3

complete list of authors

  • Quek, F

publication date

  • January 2008