Seven good reasons for mobile agents
Communications of the ACM
An agent-based approach for building complex software systems
Communications of the ACM
D'Agents: applications and performance of a mobile-agent system
Software—Practice & Experience - Special issue: Mobile agent systems
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Automated camera layout to satisfy task-specific and floor plan-specific coverage requirements
Computer Vision and Image Understanding - Special issue on omnidirectional vision and camera networks
Range determination for mobile robots using an omnidirectional camera
Integrated Computer-Aided Engineering - Informatics in Control, Automation and Robotics
A multi-agent system for building project memories to facilitate the design process
Integrated Computer-Aided Engineering
Integrated Computer-Aided Engineering
Using fuzzy cognitive maps to identify multiple causes in troubleshooting systems
Integrated Computer-Aided Engineering
Independent component analysis and nongaussianity for blind image deconvolution and deblurring
Integrated Computer-Aided Engineering
Integrated Computer-Aided Engineering
Correlation-based particle filter for 3D object tracking
Integrated Computer-Aided Engineering
Human automatic detection and tracking for outdoor video
Integrated Computer-Aided Engineering
Agent-based cloud workflow execution
Integrated Computer-Aided Engineering - Anniversary Volume: Celebrating 20 Years of Excellence
Hi-index | 0.00 |
We have been proposing the automatic human tracking system to overcome limitations of existing video surveillance systems. This paper proposes two bypass methods to keep tracking a targeted person by the system constructed by using mobile agent technologies even if unexpected problems are occurred. The proposed methods are called as "Recalculation Bypass Method" and "Additional Calculation Bypass Method". These bypass methods utilize the algorithm which is elaborated in the paper, "An Algorithm to Determine Neighbor Nodes" [7]. The mobile agents are operating in automatic human tracking system and the bypass methods are utilized by the mobile agents. It is a very important ability for the mobile agent not to lose tracking in automatic human tracking systems. The bypass methods contribute to the realization of robust system and resolve two classifications of problem to ensure the tracking ability of mobile agents. The two classifications of problem are logical and physical problems. In the case of logical problems, they occur inside the system and they are called as "broken server". While in the case of physical problems, they occur outside the system and they are called as "pathway being modified". This system is able to track the targeted person continuously by utilizing the methods even if unexpected problems are occurred. We confirmed the effectiveness of the proposed bypass methods by the experiments that used more than one broken servers and pathway being modified.