Cooperative dual camera surveillance system for real-time object searching and close-up viewing

Yeh, Jeng-Sheng; Chang, Cheng-Chi; Chia, Tsorng-Lin; Chiang, Shu‐Yin; Huang, Ping-Sheng

doi:10.1109/igbsg.2016.7539432

Cited by 1 publication

(2 citation statements)

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“…MIT pedestrian data set is used for training and testing. Yeh et al [4] proposed a dual cooperative camera system for frontal surveillance (Fig. 1).…”

Section: Related Workmentioning

confidence: 99%

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Energy Efficient Camera Solution for Video Surveillance

Ahmad¹,

Ahmed²,

Ullah³

et al. 2019

ijacsa

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Video surveillance is growing rapidly, new problems and issues are also coming into view which needs serious and urgent attention. Video surveillance system requires a beneficial energy efficient camera solution. In this paper, a single overhead camera solution is introduced which overcomes the problems existing in various frontal and overhead based surveillance systems. This will increases the efficiency and accuracy of surveillance system i.e. frontal and overhead. In this paper, two energy efficient overhead camera models are presented. The first model consists of a single overhead camera with a wide angle lens which covers a wide field of view addresses problems present in the traditional surveillance system. The second model, presents a single smart centralized overhead camera which controls various frontal based cameras. Several factors associated with camera models such as field of view, focal length and distortion are also discussed. Impact of the surveillance cameras are finally discussed which shows that a single energy efficient overhead camera surveillance system can solves many problems present in traditional surveillance system like power consumption, storage, time, human resource and installation cost and small coverage area.

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“…MIT pedestrian data set is used for training and testing. Yeh et al [4] proposed a dual cooperative camera system for frontal surveillance (Fig. 1).…”

Section: Related Workmentioning

confidence: 99%

“…Some of the images captured from frontal surveillance cameras. [4], [11] to solve the problem of occlusion. An efficient and reliable feature descriptor for human detection in a top-view depth image was presented by [15] (see Fig.…”

Section: Related Workmentioning

confidence: 99%