A Framework for Human Body Tracking Using an Agent-based Architecture
| dc.contributor.author | Fang, Bing | en |
| dc.contributor.committeechair | Quek, Francis K. H. | en |
| dc.contributor.committeemember | Cao, Yang | en |
| dc.contributor.committeemember | Gracanin, Denis | en |
| dc.contributor.committeemember | Abbott, A. Lynn | en |
| dc.contributor.committeemember | Ehrich, Roger W. | en |
| dc.contributor.department | Computer Science | en |
| dc.date.accessioned | 2017-04-06T15:43:04Z | en |
| dc.date.adate | 2011-08-12 | en |
| dc.date.available | 2017-04-06T15:43:04Z | en |
| dc.date.issued | 2011-02-23 | en |
| dc.date.rdate | 2016-09-30 | en |
| dc.date.sdate | 2011-07-13 | en |
| dc.description.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. | en |
| dc.description.degree | Ph. D. | en |
| dc.identifier.other | etd-07132011-185333 | en |
| dc.identifier.sourceurl | http://scholar.lib.vt.edu/theses/available/etd-07132011-185333/ | en |
| dc.identifier.uri | http://hdl.handle.net/10919/77135 | en |
| dc.language.iso | en_US | en |
| dc.publisher | Virginia Tech | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | computer vision | en |
| dc.subject | agent-based | en |
| dc.subject | human tracking | en |
| dc.title | A Framework for Human Body Tracking Using an Agent-based Architecture | en |
| dc.type | Dissertation | en |
| dc.type.dcmitype | Text | en |
| thesis.degree.discipline | Computer Science | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | doctoral | en |
| thesis.degree.name | Ph. D. | en |