Agt International Gmbh

Henning Hamer

Markus Schlattmann

Roel Heremans

Ulf Blanke

Arsenii Sawchuk

A method for automatic spatial calibration of a network of cameras along a road includes, processing a frame that is obtained from each camera of the network to automatically identify an image of a pattern of road markings that have a known spatial relationship to one another. The identified images are used to calculate a position of each camera relative to the pattern of road markings that is imaged by that camera. Geographical information is applied to calculate an absolute position of a field of view of each camera. A global optimization is applied to adjust the absolute position of the field of view of each camera of the camera network relative to an absolute position of the fields of view of other cameras of the camera network.

Automatic spatial calibration of camera network

In queues, persons&#x2014;or objects () in general&#x2014;move inside an area () to a target (), such as to a counter. The queue has movement characteristics in terms of speed, waiting times and queue form. A computer-implemented approach obtains the characteristics by receiving a sequence () of image frames () that represent the surveillance area (); calculating flow vectors that indicate an optical displacement for the sequence () of image frames (); extending one of the flow vectors as lead vector in extension directions; determining intermediate vectors by using flow vectors along the extension directions; and selecting one the intermediate vectors as the new lead vector. The steps are repeated to concatenate the lead vectors to the movement characteristics ().

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Ravensburg, Germany

Henning Hamer