An adaptive focus-of-attention model for video surveillance and monitoring

Davis, James W.; Morison, Alexander M.; Woods, David D.

doi:10.1007/s00138-006-0047-x

Cited by 29 publications

(17 citation statements)

References 25 publications

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“…Instead, our concern is how these results can be used for camera scheduling. Davis et al [5] use detected motion from randomly chosen pan/tilt settings to learn a map which is then used to select future camera parameters. The authors propose several methods to navigate through the learned map, but all goal locations are chosen randomly by assuming the map entries stem from an unnormalised probability distribution.…”

Section: Related Workmentioning

confidence: 99%

Information-theoretic active scene exploration

Sommerlade

Reid

2008

2008 IEEE Conference on Computer Vision and Pattern Recognition

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Section: Related Workmentioning

confidence: 99%

Information-theoretic active scene exploration

Sommerlade

Reid

2008

2008 IEEE Conference on Computer Vision and Pattern Recognition

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“…It could be altered to appear in three-dimensions [18]. The video stream could show just what moves [19], or the camera itself could move to encompass a wider field of view [20].…”

Section: B Computer Visionmentioning

confidence: 99%

Effective threat detection for surveillance

Gelernter

2013

2013 IEEE International Conference on Technologies for Homeland Security (HST)

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Abstract-Surveillance video and protocols are only as effective as the people who are doing the monitoring. Threats might be overlooked because they are rare. Our experiment tested in the security domain what others have found in the medical domain: that repeating a rare event to make it less rare will make it more likely to be remembered, and hence, to be able to be reported. Results of our experiment supported the hypothesis that repeating rare events will make them more likely to be detected. We also looked at the relationship between threat detection performance and age, perceived level of attention, and recording procedure time devoted to each threat. Our specific findings concerning these factors led us to suggest actionable protocols to improve security officers' threat detection performance in video and live surveillance. Airport, border, urban, and other types of security screeners might benefit from these recommendations.

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“…These efforts can be circumvented by restricted camera placements [3], [4]. In contrast, systems without supervisor cameras have to rely on heuristics to observe the scene [9], [10].…”

Section: Related Workmentioning

confidence: 99%

A distributed camera system for multi-resolution surveillance

Bellotto

Sommerlade

Benfold

et al. 2009

2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)

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Abstract-We describe an architecture for a multi-camera, multi-resolution surveillance system. The aim is to support a set of distributed static and pan-tilt-zoom (PTZ) cameras and visual tracking algorithms, together with a central supervisor unit. Each camera (and possibly pan-tilt device) has a dedicated process and processor. Asynchronous interprocess communications and archiving of data are achieved in a simple and effective way via a central repository, implemented using an SQL database.Visual tracking data from static views are stored dynamically into tables in the database via client calls to the SQL server. A supervisor process running on the SQL server determines if active zoom cameras should be dispatched to observe a particular target, and this message is effected via writing demands into another database table.We show results from a real implementation of the system comprising one static camera overviewing the environment under consideration and a PTZ camera operating under closed-loop velocity control, which uses a fast and robust level-set-based region tracker. Experiments demonstrate the effectiveness of our approach and its feasibility to multi-camera systems for intelligent surveillance.

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An adaptive focus-of-attention model for video surveillance and monitoring

Cited by 29 publications

References 25 publications

Information-theoretic active scene exploration

Information-theoretic active scene exploration

Effective threat detection for surveillance

A distributed camera system for multi-resolution surveillance

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