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This paper is submitted as the final team description of SHABaN team, one of the participants in the Second Multi-Agent Programming Contest in association with the ProMAS 2008 workshop. Here we describe the agent architecture and behaviors to solve a cooperative task in a highly dynamic environment. Our approach consists of evaluating strategies in NetLogo and a raw implementation.
Intelligent traffic surveillance systems are assuming an increasingly important role in highway monitoring and city road management systems. Recently a novel feature was proposed to improve the accuracy of object localization and occlusion handling. It was constructed on the basis of the strong shadow under the vehicle in real-world traffic scene. In this paper, we use some statistical parameters...
Multi-view action recognition addresses many challenges like view-invariance and occlusion. But the huge amount of data makes it hard for use in real life applications. In this paper, we propose a distributed activity classification framework based on consensus matrix completion, where several smart cameras are observing the scene, each process their observations and come to an agreement about the...
In this paper, we propose a Multi-view Distributed SVM model. Most distributed classification models, distribute the instances among their processing nodes, while we assume that one instance is formed as a combination of information from different sources. This makes our model a great choice for multi-view activity recognition in camera sensor networks. We demonstrate the effectiveness of the algorithm,...
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