Hand tracking using agent-based framework
Additional Document Info
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)