Tag and Track

Tag and Track is an award-winning Video Analytics-based tracking system that operates on a network of overlapping and non-overlapping surveillance cameras to track a “tagged” individual. In an operational role, once a person has been tagged the system automatically follows that person, intuitively waiting and reacquiring them when they disappear into areas not covered by the surveillance network.

The system will also track the tagged individual backwards in time to show where that person appeared in the surveillance network. Tagging can either be performed by operators using the intuitive Graphical User Interface (GUI), or automatically when certain Video Analytics, Facial Recognition or other sensors have been triggered. The system parametrises the appearance of the tagged individual (based on a number of different visual identifiers) and tracks this collection of information.

Tag and Track automatically learns the topology of the camera network and understands where a suspect is likely to reappear when they exit one of the camera fields of view.

In a forensics mode of operation, Tag and Track can be used to search hundreds of hours of incident related video footage in minutes to produce a detailed account of an individuals movements in the surveillance network.