Objectvideo, Inc

Avigilon Fortress Corporation

Geoffrey R Taylor

Alan J Lipton

Niels Haering

Andrew J Chosak

Himaanshu Gupta

Donald Gerard Madden

Li Yu

Paul C Brewer

Omar Javed

Zeeshan Rasheed

Haiying Liu

Khurram Hassan-Shafique

Xiao Chun Cao

Zhong Zhang

Peter L Venetianer

Mun Wai Lee

Wei Hong Yin

Asaad Hakeem

A method to determine a base focal length of a pan-tilt-zoom (PTZ) camera system. The method includes generating a spherical mosaic with a feature track by the camera system and determining, by the camera system, a base focal length by analyzing a conic trajectory created by the feature track on an image plane.

Automatic calibration of PTZ camera system

In one exemplary embodiment a method calibrates a pan-tilt-zoom (PTZ) camera system. The PTZ camera system may include a PTZ camera. The method may perform at least one of the following steps: determining a radial distortion of the PTZ camera; determining a base focal length of the PTZ camera; determining a zoom and magnification profile of the PTZ camera; determining an actuation delay of the PTZ camera system; determining a pan position mode speed and/or a tilt position mode speed of the PTZ camera; determining a pan velocity profile and/or a tilt velocity profile of the PTZ camera; determining a zoom position profile and/or a zoom duration profile of the PTZ camera; determining a query delay of the PTZ camera system; and determining a minimum query interval of the PTZ camera system.

A video sequence of a field of view within an environment is received. Targets are detected in the video sequence. Target geo-positional information is received. Correspondences between the targets detected in the video sequence and the target geo-positional information are determined and used to calibrate the camera and to geo-register a field of view of the camera.

Automatic camera calibration and geo-registration using objects that provide positional information

A computer-based method for automatic detection of water regions in a video include the steps of estimating a water map of the video and outputting the water map to an output medium, such as a video analysis system. The method may further include the steps of training a water model from the water map; re-classifying the water map using the water model by detecting water pixels in the video; and refining the water map.

Method for detecting water regions in video

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Reston, VA, United States of America

Geoffrey R Taylor