Abstract
A substantial increase in the number of surveillance camera systems has not delivered the promised deterrent effects or investigative case evidence and their usefulness has been underwhelming. A potential solution to practical camera monitor needs is computer vision (CV)-enhanced camera networks that can provide automated real-time video analysis, quick processing of monitor query-based searches, and accurate summaries of archived video files. The development and testing of four CV algorithms in computer vision laboratories is presented and implications from their possible adoption by security agencies on society are discussed.
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