CCTV effectiveness study

Voorthuijsen, G. van; Hoof, H. van; Klíma, Miloš; Roubík, Karel; Bernas, M.; Páta, Petr

doi:10.1109/ccst.2005.1594815

Cited by 19 publications

(69 citation statements)

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“…Detection rates for live surveillance are likely to vary across different contexts. The reasons for this are numerous and include the nature of the signifi cant events (for example, conspicuity, duration and how often they occur), scene characteristics (for example, Bravo and Farid, 2006 ;Lighting et al, 2005 ), the number of cameras being monitored simultaneously ( van Voorthuijsen et al , 2005 ), and operators ' concentration spans, among other factors. In addition, the broader effectiveness of CCTV systems is infl uenced by a range of factors aside from the detection rates of operators ( Donald, 2010 ).…”

Section: Discussionmentioning

confidence: 99%

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CCTV: A challenging case for threat image projection implementation

Donald

2012

Secur J

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This study examines an intervention aimed at improving the detection rates of closed circuit television (CCTV) operators during real-time surveillance. The intervention consists of electronically inserting graphic objects (IGOs) into video stream with the intention of assisting operators in detecting actual signifi cant events. It is based on threat image projection (TIP) that has been used to heighten the performance of X-ray baggage screeners. Seventy-three participants observed a 90-min CCTV video from an industrial plant, showing both normal work activity and signifi cant events. The control group received no IGOs, one treatment group received generic IGOs, and the second treatment group received IGOs with small semantic distances to target behaviours. There were indications that the IGOs had positive effects on alertness and attention sets, but this was not statistically signifi cant. Reasons for this are discussed in terms of differences between the CCTV and baggage screening or TIP contexts.

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Section: Discussionmentioning

confidence: 99%

“…This has been attributed to many factors, including the detection rates of operators van Voorthuijsen et al , 2005 ;Wells et al , 2006 ;Keval and Sasse, 2010 ). Detection rates in real-time CCTV surveillance vary considerably for different conditions, types of scenes and signifi cant events.…”

Section: Introductionmentioning

confidence: 98%

CCTV: A challenging case for threat image projection implementation

Donald

2012

Secur J

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“…The recordings were obtained within the joint project of the TNO Physics and Electronics Laboratory (TNO-FEL) in Hague and Czech Technical University in Prague. In this project the effectiveness of CCTV was studied [14].…”

Section: Datasetmentioning

confidence: 99%

Influence of HEVC compression on event detection in security video sequences

Vítek

Krasula

Klíma

et al. 2013

2013 47th International Carnahan Conference on Security Technology (ICCST)

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In this paper, the impact of the degree of com pression by High Efficiency Video Coding (REVC) on ob servers ability of detecting certain events in videos obtained by outdoor CCTV cameras is studied. This was done by extensive subjective testing. The testing was performed also for H.264IMPEG-4 Part 10 AVC compression on similar bitrates and the capabilities of detection were compared and thus the superiority of REVC was proven. Also the threshold for encoder setting, where the increase of bit rate or decrease of quantization parameter (QP) do not improve observers ability to detect the events, was proposed.

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“…The security video sequences were harvested from a CCTV on a street [16] in The Hague. The videos were generated in color VGA image pixels, originally in .dv video format.…”

Section: Security Video Sequencesmentioning

confidence: 99%

Modeling and evaluation of image quality in wireless surveillance networks

Ibekwe

Vítek

Klíma

et al. 2012

2012 IEEE International Carnahan Conference on Security Technology (ICCST)

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This paper studies the security image quality attained in streaming video over wireless networks under different packet error models. Wireless video sensor networks are becoming common place due to increasing crime rates and growing terrorist activities. A crucial requirement for video surveillance technology especially for real-time monitoring is that the video quality must not fall below a certain threshold so that objects and events in these videos could be identified and properly interpreted by viewers. However, the time varying transmission characteristics of the wireless channel and limited throughput can lead to poor performance of multimedia traffic over wireless networks. As a result, the end user may perceive jerky motions, frame freezes, and missing segments which may affect their ability to recognize objects and effectively analyze the scenes.An experimental set-up required for wireless network surveillance using IEEE 802. is described. The authors adopt subjective user tests to study the degree of identification of objects and events in security videos generated from camera security systems and subjected to wireless channel packet loss conditions to benchmark identification in the degraded sequences. Packet loss conditions were introduced into the sequences using NS-2 network simulator.Index Terms -video surveillance, wireless networks, transmission errors, security image quality. I.

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CCTV effectiveness study

Cited by 19 publications

References 0 publications

CCTV: A challenging case for threat image projection implementation

CCTV: A challenging case for threat image projection implementation

Influence of HEVC compression on event detection in security video sequences

Modeling and evaluation of image quality in wireless surveillance networks

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