Avigilon Fortress Corporation

Objectvideo, Inc

Motorola Solutions, Inc.

Diamondback Vision, Inc.

Tunesplice, LLC

Paul C Brewer

Alan J Lipton

Andrew J Chosak

Zhong Zhang

Peter L Venetianer

Niels Haering

Li Yu

Himaanshu Gupta

Weihong Yin

W Andrew Scanlon

Dana Eubanks

John I W Clark

Haiying Liu

Gary W Myers

Péter L Venetianer

Zeeshan Rasheed

Geoffrey Egnal

Thomas M Strat

Geoffrey R Taylor

Thomas E Slowe

Omar Javed

Matthew F Frazier

Robert A Cutting

Yongtong Hu

Thomas J Burns

Mark Allmen

James S Sfekas

William E Severson

Tasuki Hirata

Robert J Douglass

Pèter L Venetianer

Pramod Kalapa

Chung-Cheng Yen

Liangyin Yu

Caspar Horne

John F Tilki

John Iw Clark

Mark C Allmen

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

Methods, systems and devices may automatically determine splice points within a song to alter a length of the song. Possible splice points may be obtained by comparing different portions of the song with each other. After obtaining possible splice points, the song may be shortened by deleting/skipping portions of the song between two paired splice points. Alternatively the song may be lengthened. The altered song may be used with an audio-visual presentation, such as a slide show or commercial, or as a ringtone.

Method, device and system for automatically adjusting a duration of a song

A system for video monitoring a retail business process includes a video analytics engine to process video obtained by a video camera and generate video primitives regarding the video, A user interface is used to define at least one activity of interest regarding an area being viewed, each activity of interest identifying at least one of a rule or a query regarding the area being viewed. An activity inference engine processes the generated video primitives based on each defined activity of interest to determine if an activity of interest occurred in the video.

Video analytics for retail business process monitoring

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 method of operating a video surveillance system is provided. The video surveillance system including at least two sensing units. A first sensing unit having a substantially 360 degree field of view is used to detect an event of interest. Location information regarding a target is sent from the first sensing unit to at least one second sensing unit when an event of interest is detected by the first sensing unit.

Video surveillance system with omni-directional camera

A method of video analysis may comprise tracking a state of each target in a video through multiple frames of said video, each state indicating a visibility condition of a target.

Multi-state target tracking

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

A machine-accessible medium containing software code that, when read by a computer, causes the computer to perform method for filtering a video in a video system. The method may include generating a foreground mask and a background model from a video, where the foreground mask comprises moving pixels in the video and the background model comprises a statistical description, including a mean and a variance value, for each pixel in the video. Then the background model variance is filtered with a one-dimensional high pass filter in a single orientation. Next, for each linear grouping of pixels in the single orientation of the filtered variance, a first edge pixel is detected between a high-variance group of pixels and a low-variance group of pixels. Then a first waterline position is detected as an area bounded by the first edge pixels.

Tide filtering for video surveillance system

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Arlington, VA, United States of America

Paul C Brewer