Camera Calibration with Distortion Models and Accuracy Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
JAM: a BDI-theoretic mobile agent architecture
Proceedings of the third annual conference on Autonomous Agents
Perception of three-dimensional structure
The handbook of brain theory and neural networks
Geometric Camera Calibration Using Circular Control Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
An architecture for Real-Time Reasoning and System Control
IEEE Expert: Intelligent Systems and Their Applications
The Belief-Desire-Intention Model of Agency
ATAL '98 Proceedings of the 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages
A Multi-Agent Framework for Visual Surveillance
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
An Agent-Based Approach for Tracking People in Indoor Complex Environments
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
A new approach to the BDI agent-based modeling
Proceedings of the 2004 ACM symposium on Applied computing
Real-time Cooperative Multi-target Tracking by Dense Communication among Active Vision Agents
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
A multitarget tracking video system based on fuzzy and neuro-fuzzy techniques
EURASIP Journal on Applied Signal Processing
Multi-agent framework in visual sensor networks
EURASIP Journal on Applied Signal Processing
Active-Vision for the Autonomous Surveillance of Dynamic, Multi-Object Environments
Journal of Intelligent and Robotic Systems
Reactive reasoning and planning
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
| Hi-index | 0.00 |
The newest surveillance applications is attempting more complex tasks such as the analysis of the behavior of individuals and crowds. These complex tasks may use a distributed visual sensor network in order to gain coverage and exploit the inherent redundancy of the overlapped field of views. This article, presents a Multi-agent architecture based on the Belief-Desire-Intention (BDI) model for processing the information and fusing the data in a distributed visual sensor network. Instead of exchanging raw images between the agents involved in the visual network, local signal processing is performed and only the key observed features are shared. After a registration or calibration phase, the proposed architecture performs tracking, data fusion and coordination. Using the proposed Multi-agent architecture, we focus on the means of fusing the estimated positions on the ground plane from different agents which are applied to the same object. This fusion process is used for two different purposes: (1) to obtain a continuity in the tracking along the field of view of the cameras involved in the distributed network, (2) to improve the quality of the tracking by means of data fusion techniques, and by discarding non reliable sensors. Experimental results on two different scenarios show that the designed architecture can successfully track an object even when occlusions or sensor's errors take place. The sensor's errors are reduced by exploiting the inherent redundancy of a visual sensor network with overlapped field of views.