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Adaptive Probabilistic Tracking Embedded in Smart Cameras for Distributed Surveillance in a 3D Model
2007
EURASIP Journal on Embedded Systems
Tracking applications based on distributed and embedded sensor networks are emerging today, both in the fields of surveillance and industrial vision. Traditional centralized approaches have several drawbacks, due to limited communication bandwidth, computational requirements, and thus limited spatial camera resolution and frame rate. In this article, we present network-enabled smart cameras for probabilistic tracking. They are capable of tracking objects adaptively in real time and offer a very
doi:10.1155/2007/29858
fatcat:db4fffdylbefhf5cyf4ulvv6ki