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Titlebook: Camera Networks; The Acquisition and Amit K. Roy-Chowdhury,Bi Song Book 2012 Springer Nature Switzerland AG 2012

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Molecular Biology of Neuroendocrine Tumorsthe most basic tracking methods include the Kalman filter, particle filter and mean shift tracker. However, by themselves, these methods are usually not able to track over extended space-time horizons.
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Book 2012ted living facilities, among others, image understanding in camera networks is becoming an important area of research and technology development. There are many challenges that need to be addressed in the process. Some of them are listed below: - Traditional computer vision challenges in tracking an
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An Introduction to Camera Networks,g the results in a manner that is meaningful to the end user. This motivates the study of camera networks as a challenging research problem and a pressing social necessity. This book provides a comprehensive overview of the state-of-the-art video analysis using a camera network and identifies the main directions of future work.
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Distributed Processing in Camera Networks,ctual operation of the network. This may be challenging in many field operations, like disaster management or operations in hostile environments. Distributed vision systems, possibly working alongside humans,can enlarge the application domain by facilitating operations in environments that may be too dangerous and hostile for humans.
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Eugenio E. Müller,Robert M. MacLeodople when they are in close proximity. The entire process may require that the camera network adjust its sensing parameters based on analysis of the previously acquired images, thus leading to an integrated sensing and analysis framework. It requires collaboration between the cameras on both the sen
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Effects of Prolactin on Target Cells,cquisition process based on real-time analysis of the data. We discussed existing approaches for achieving this and presented a distributed optimization framework that has parallels to the concept of potential games in game theory. We showed that this approach was also capable of acquiring desirable
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2153-1056 search problems in camera networks, review the current state-of-the-art and present a detailed description of some of the recently developed methodologies. The 978-3-031-00683-8978-3-031-01811-4Series ISSN 2153-1056 Series E-ISSN 2153-1064
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Active Sensing,ople when they are in close proximity. The entire process may require that the camera network adjust its sensing parameters based on analysis of the previously acquired images, thus leading to an integrated sensing and analysis framework. It requires collaboration between the cameras on both the sen
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