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Challenges and developments in "intelligent video surveillance"

  Security analysts IMS Research have charted a 65% annual compound growth in the video analytics market since 2004 and predict that the sector will be worth £215 million in 2009.  Here, Chris Gomersall, Chief Executive Officer of London-based analytics provider Ipsotek, outlines the technology, describes on-site challenges and considers likely developments.

Referred to variously as "intelligent video surveillance" or "intelligent scene analysis", video analytics employs algorithms and vector partitioning to detect unexpected movement or unusual behaviour that may pose a threat to people, property and infrastructure.  The software filters and interprets data captured by CCTV cameras in circumstances where a human observer would struggle to assess developments as they arise.  The analysis can be performed in real-time or retrospectively in playback for evidential purposes.  Real-time messages on potential risks or situations requiring attention can take the form of audible and visual alarms, on-screen alerts, SMS messaging and direct communication with emergency services.

Audio and video analytics can now be combinedCommon scenarios observed by analytics suites include border security, abnormal pedestrian or vehicular motion, suspect packages, platform suicide and many forms of street crime or deviation from social norms.  Such deviation can cover prostitution, kerb crawling, drug dealing and trackside intrusion.

Scene analysis providers have built up a flexible core of behavioural algorithms to create numerous generic and client-specific alarm triggers.  These can cover complex needs or be as simple as surveillance of a sterile zone.  In addition to the scenarios described above, usage can include prevention of ATM surfing, graffiti, vandalism, tailgating, loitering, theft of      museum artefacts, station or stadium overcrowding and platform suicide.

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Author: Chris Gomersall, CEO of Ipsotec.Ltd.  Source: SourceSecurity.com®

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