Study of intelligent video monitoring technology

Liu, Meng; Sui, Hulin; Wang, Jun; Wu, Chengdong

doi:10.1109/ccdc.2010.5498701

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…Because the SAW pipe factory often stops production for several days, there are large quantity of dust on the upper surface of steel plate. The friction wheel is contaminated, speed surveying accuracy will decrease [7,8] . (1) The moving speed of steel plate is about 2-10m/min, a diameter 10cm friction wheel is used.…”

Section: Servo Tracking Control System Designmentioning

confidence: 99%

Design of Plasma Cutting Tracking Device for Spiral SAW Pipe

Wang

Yuan

Dong

et al. 2011

AMR

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Section: Servo Tracking Control System Designmentioning

confidence: 99%

Design of Plasma Cutting Tracking Device for Spiral SAW Pipe

Wang

Yuan

Dong

et al. 2011

AMR

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“…Ref. [2] introduces several main technologies of intelligent video surveillance. The current intelligent video surveillance systems based on these technologies can detect the probable potential security hazards reflected in videos, and will generate an earlywarning notification immediately.…”

Section: Introductionmentioning

confidence: 99%

An Instant Security Early Warning System Based on Mobile Push Technology

Zhu¹,

Wang

Zhang

2013

Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)

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Most of the notification mechanisms of current intelligent video surveillance systems are based on traditional methods, which either require operators on duty to receive and deal with early-warning notification from surveillance systems, or notice related personnel by broadcasting. The former costs a great deal of labor and effort, and the latter is inconvenient. Moreover, some other intelligent video surveillance systems could even only provide clues for ex post analysis, whose instantaneity performance is poor. To solve these problems of notification mechanisms in current intelligent video surveillance systems, a security early warning system based on mobile push technology which uses XMPP (Extensible Messaging and Presence Protocol) is proposed in this paper. The performance test results indicate that the proposed system not only improves the instantaneity performance, but also saves labor and effort.

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“…To display and resize images, these cameras often have powerful digital signal image processors. However, a camera cannot meet the demand of object tracking applications with only a wide angle and image processing, as it lacks technologies such as: Object tracking motion detection algorithms [5][6][7], the Markov Chain research model [8][9][10][11][12], optical flow technology [13][14][15], background model approach [16,17], and kernel-based method [18][19][20][21]. These systems also use a large amount of energy.…”

Section: Object Tracking Networkmentioning

confidence: 99%

Energy-Efficient Clusters for Object Tracking Networks

Fan

2018

Energies

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Smart cities have hundreds of thousands of devices for tracking data on crime, the environment, and traffic (such as data collected at crossroads and on streets). This results in higher energy usage, as they are recording information persistently and simultaneously. Moreover, a single object tracking device, on a corner at an intersection for example has a limited scope of view, so more object tracking devices are added to broaden the view. As an increasing number of object tracking devices are constructed on streets, their efficient energy consumption becomes a significant issue. This work is concerned with decreasing the energy required to power these systems, and proposes energy-efficient clusters (EECs) of object tracking systems to achieve energy savings. First, we analyze a current object tracking system to establish an equivalent model. Second, we arrange the object tracking system in a cluster structure, which facilitates the evaluation of energy costs. Third, the energy consumption is assessed as either dynamic or static, which is a more accurate system for determining energy consumption. Fourth, we analyze all possible scenarios of the object's location and the resulting energy consumption, and derive a number of formulas for the fast computation of energy consumption. Finally, the simulation results are reported. These results show the proposed EEC is an effective way to save energy, compared with the energy consumption benchmarks of current technology.

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Study of intelligent video monitoring technology

Cited by 4 publications

References 10 publications

Design of Plasma Cutting Tracking Device for Spiral SAW Pipe

Design of Plasma Cutting Tracking Device for Spiral SAW Pipe

An Instant Security Early Warning System Based on Mobile Push Technology

Energy-Efficient Clusters for Object Tracking Networks

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