Multi-Agent Based Framework for Target Tracking Using a Real Time Vision System
khalifa, mohamed essam; N. A. Sabour; H. M. Faheem;
Abstract
This paper presents a multi-agent based
framework for target tracking. We exploit the agent-oriented
software paradigm with its characteristics that provide
intelligent autonomous behavior together with a real time
computer vision system to achieve high performance real time
target tracking. The framework consists of four layers;
Interface, Strategic, Management, and Operation layers.
Interface Layer receives from the user the tracking parameters
such as the number and type of trackers and targets and type
of the tracking environment, and then delivers these
parameters to the subsequent layers. Strategic (Decision
Making) Layer is provided with a knowledge base of target
tracking methodologies that are previously implemented by
researchers in diverse target tracking applications and are
proven successful. And by inference in the knowledge base
using the user input a tracking Methodology is chosen.
Management Layer is responsible for pursuing and controlling
the tracking methodology execution. Operation Layer
represents the phases in the tracking methodology and is
responsible for communicating with the real-time computer
vision system to execute the algorithms in the phases. The
framework is presented with a case study to show its ability to
tackle the target tracking problem and its flexibility to solve
the problem with different tracking parameters. This paper
describes the ability of the agent-based framework to deploy
any real-time vision system that fits in solving the target
tracking problem. It is a step towards a complete open
standard, real-time, agent-based framework for target
tracking.
framework for target tracking. We exploit the agent-oriented
software paradigm with its characteristics that provide
intelligent autonomous behavior together with a real time
computer vision system to achieve high performance real time
target tracking. The framework consists of four layers;
Interface, Strategic, Management, and Operation layers.
Interface Layer receives from the user the tracking parameters
such as the number and type of trackers and targets and type
of the tracking environment, and then delivers these
parameters to the subsequent layers. Strategic (Decision
Making) Layer is provided with a knowledge base of target
tracking methodologies that are previously implemented by
researchers in diverse target tracking applications and are
proven successful. And by inference in the knowledge base
using the user input a tracking Methodology is chosen.
Management Layer is responsible for pursuing and controlling
the tracking methodology execution. Operation Layer
represents the phases in the tracking methodology and is
responsible for communicating with the real-time computer
vision system to execute the algorithms in the phases. The
framework is presented with a case study to show its ability to
tackle the target tracking problem and its flexibility to solve
the problem with different tracking parameters. This paper
describes the ability of the agent-based framework to deploy
any real-time vision system that fits in solving the target
tracking problem. It is a step towards a complete open
standard, real-time, agent-based framework for target
tracking.
Other data
Title | Multi-Agent Based Framework for Target Tracking Using a Real Time Vision System | Authors | khalifa, mohamed essam ; N. A. Sabour; H. M. Faheem | Keywords | Multi-agent based systems;Target Tracking;Real Time Computer Vision System | Issue Date | Nov-2008 | Publisher | IEEE | Conference | 2008 International Conference on Computer Engineering & Systems | DOI | 10.1109/ICCES.2008.4773028 |
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