Title page for ETD etd-07132011-185333


Type of Document Dissertation
Author Fang, Bing
Author's Email Address fangb@vt.edu
URN etd-07132011-185333
Title A Framework for Human Body Tracking Using an Agent-based Architecture
Degree PhD
Department Computer Science
Advisory Committee
Advisor Name Title
Quek, Francis K. H Committee Chair
Abbott, A. Lynn Committee Member
Cao, Yang Committee Member
Ehrich, Roger W. Committee Member
Gracanin, Denis Committee Member
Keywords
  • computer vision
  • agent-based
  • human tracking
Date of Defense 2011-02-23
Availability unrestricted
Abstract
The purpose of this dissertation is to present our agent-based human tracking framework, and to evaluate the results of our work in light of the previous research in the same field.

Our agent-based approach departs from a process-centric model where the agents are bound to specific processes, and introduces a novel model by which agents are bound to the objects or sub-objects being recognized or tracked. The hierarchical agent-based model allows the system to handle a variety of cases, such as single people or multiple people in front of single or stereo cameras. We employ the job-market model for agents' communication. In this dissertation, we will present several experiments in detail, which demonstrate the effectiveness of the agent-based tracking system.

Per our research, the agents are designed to be autonomous, self-aware entities that are capable of communicating with other agents to perform tracking within agent coalitions. Each agent with high-level abstracted knowledge seeks evidence for its existence from the low-level features (e.g. motion vector fields, color blobs) and its peers (other agents representing body-parts with which it is compatible). The power of the agent-based approach is its flexibility by which the domain information may be encoded within each agent to produce an overall tracking solution.

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