IVC annexeMulti-agent visual surveillance of dynamic scenes☆
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The paper presents a multi-agent surveillance system for use in monitoring scene involving animate (pedestrians) and inanimate (vehicles) objects. Agents are dynamically created and assigned to the objects identified, located and tracked by a vision system, and to pairs of objects in close proximity. The multi-agent framework infers the most probable interpretation of the scene dynamics from the information provided by the vision system.
References (21)
From image sequences towards conceptual descriptions
Image and Vision Computing
(1988)- et al.
Visual surveillance in a dynamic and uncertain world
Artificial Intelligence
(1995) - et al.
Analogical representation of space and time
Image and Vision Computing
(1992) Agent-oriented programming
Artificial Intelligence
(1993)- et al.
What is going on? A high level interpretation of sequences of images
- et al.
Automatic Symbolic Traffic Scene Analysis Using Belief Networks
- et al.
Model-based vehicle detection and classification using orthographic approximations
Action, Activity and Movement: the role of knowledge in the perception of motion
Phil. Trans. R. Soc. London
(1997)Computers seeing action
- et al.
The PASSWORD project
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