Avigilon Fortress Corporation

Objectvideo, Inc

Motorola Solutions, Inc.

Himaanshu Gupta

Li Yu

Paul C Brewer

Zhong Zhang

Alan J Lipton

Peter L Venetianer

Niels Haering

Andrew J Chosak

Weihong Yin

Dana Eubanks

W Andrew Scanlon

Zeeshan Rasheed

Haiying Liu

Geoffrey R Taylor

Omar Javed

Donald Gerard Madden

Khurram Hassan-Shafique

Geoffrey Egnal

Xiao Chun Cao

Mun Wai Lee

Wei Hong Yin

Pèter L Venetianer

Asaad Hakeem

Liangyin Yu

A method and system using face tracking and object tracking is disclosed. The method and system use face tracking, location, and/or recognition to enhance object tracking, and use object tracking and/or location to enhance face tracking.

Object tracking and best shot detection system

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

A video surveillance system may include at least one sensing unit capable of being operated in a scanning mode and a video processing unit coupled to the sensing unit, the video processing unit to receive and process image data from the sensing unit and to detect scene events and target activity.

Scanning camera-based video surveillance 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

A technique for video processing includes: receiving video from an overhead view of a scene; detecting moving pixels in the video; detecting line segments in the video based on detected moving pixels; identifying targets in the video based on the detected line segments; tracking targets in the video based on the identified targets; and managing tracked targets in the video.

Target detection and tracking from overhead video streams

A computer-readable medium contains software that, when read by a computer, causes the computer to perform a method for wide-area site-based surveillance. The method includes receiving surveillance data, including view targets, from a plurality of sensors at a site; synchronizing the surveillance data to a single time source; maintaining a site model of the site, wherein the site model comprises a site map, a human size map, and a sensor network model; analyzing the synchronized data using the site model to determine if the view targets represent a same physical object in the site; creating a map target corresponding to a physical object in the site, wherein the map target includes at least one view target; receiving a user-defined global event of interest, wherein the user-defined global event of interest is based on the site map and based on a set of rules; detecting the user-defined global event of interest in real time based on a behavior of the map target; and responding to the detected event of interest according to a user-defined response to the user-defined global event of interest.

Wide-area site-based video surveillance system

Growing community of inventors

Herndon, VA, United States of America

Himaanshu Gupta