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

担心

Eugenio E. Müller,Robert M. MacLeodn power available to send all the data to a central station. Furthermore, a single central station can bring down the entire network if it malfunctions and is prone to security threats. Also, centralized systems require setting up extensive communication and computation infrastructure prior to the a

AORTA

https://doi.org/10.1007/978-1-4612-3146-2 applications and is the focus of this chapter. Since both object and activity recognition are well-studied problems, we focus on the specific issues that are characteristic of recognition in a network of cameras.

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FORGO

休息

Synthesis Lectures on Computer Visionhttp://image.papertrans.cn/c/image/220954.jpg

土坯

Camera Networks978-3-031-01811-4Series ISSN 2153-1056 Series E-ISSN 2153-1064

无底

mortgage

History of Neuroendocrine Neoplasiag 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.

Fortify

Eugenio E. Müller,Robert M. MacLeodctual 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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