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Found 4 papers, 1 papers with code
Intelligent Camera Selection Decisions for Target Tracking in a Camera Network
The correct candidate cameras, decreases the number of false Re-ID queries as well as the computation time.
Intelligent Querying for Target Tracking in Camera Networks using Deep Q-Learning with n-Step Bootstrapping
Surveillance camera networks are a useful infrastructure for various visual analytics applications, where high-level inferences and predictions could be made based on target tracking across the network.
A Reinforcement Learning Approach to Target Tracking in a Camera Network
The task is challenging due to disjoint views and illumination variation in different cameras.
Foresee: Attentive Future Projections of Chaotic Road Environments with Online Training
In this paper, we train a recurrent neural network to learn dynamics of a chaotic road environment and to project the future of the environment on an image.
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