The system comprises a camera network that performs a distributed multi-target tracking process. The static cameras monitor the scene and the mobile cameras are guided by a control policy to capture close-up images of viewpoints likely to strengthen the classification of certain attributes.
Oct 26, 2020 · In contrast, this paper presents a multi-target tracking approach implemented in a distributed camera network. The advantages of distributed ...
Jun 4, 2021 · We present an approach for multi-target tracking in a distributed camera network boosting the implementation of a Distributed Kalman Filter. ( ...
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Jun 30, 2022 · Distributed approaches for camera networks include a multi-target square-root cubature information consensus filter to increase tracking ...
This paper presents a multi-target tracking approach implemented in a distributed camera network that boosts the benefits of the Distributed-Consensus ...
This paper deals with the problem of tracking multiple targets in a distributed network of self-configuring pan-tilt- zoom cameras. We focus on applications ...
This project aims to devise new algorithms and protocols that allow groups of cameras to work together and track multiple targets more robustly and accurately ...
Distributed multi- target tracking using sensor networks assumes that each sensor communicates and exchanges information with a subset of all nodes (neighboring ...
Distributed multi-target tracking in a self-configuring camera network
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Abstract: This paper deals with the problem of tracking multiple targets in a distributed network of self-configuring pan-tilt-zoom cameras.
Sep 11, 2024 · A method for parameter estimation and updating, utilizing Kalman filtering and Maximum Likelihood Estimation (K-M), is introduced. Finally, the ...