Design and Implementation of Ubiquitous Smart Cameras

Lin, Chang Hong; Wolf, Wayne; Dixon, A.; Koutsoukos, X.; Sztipanovits, J.

doi:10.1109/sutc.2006.1636156

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…The tradeoff between surveillance quality and resource utilization has been investigated. The design aspects and software modelling for a ubiquitous real time camera system are investigated by Lin et al [8]. The authors divide the design aspects into two categories, namely, the general and the application specific.…”

Section: Related Workmentioning

confidence: 99%

Complexity Analysis of Vision Functions for Comparison of Wireless Smart Cameras

Imran

Khursheed

Ahmad

et al. 2014

International Journal of Distributed Sensor Networks

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There are a number of challenges caused by the large amount of data and limited resources such as memory, processing capability, energy consumption, and bandwidth, when implementing vision systems on wireless smart cameras using embedded platforms. It is usual for research in this field to focus on the development of a specific solution for a particular problem. There is a requirement for a tool which facilitates the complexity estimation and comparison of wireless smart camera systems in order to develop efficient generic solutions. To develop such a tool, we have presented, in this paper, a complexity model by using a system taxonomy. In this model, we have investigated the arithmetic complexity and memory requirements of vision functions with the help of system taxonomy. To demonstrate the use of the proposed model, a number of actual systems are analyzed in a case study. The complexity model, together with system taxonomy, is used for the complexity estimation of vision functions and for a comparison of vision systems. After comparison, the systems are evaluated for implementation on a single generic architecture. The proposed approach will assist researchers in benchmarking and will assist in proposing efficient generic solutions for the same class of problems with reduced design and development costs.

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Section: Related Workmentioning

confidence: 99%