Avigilon Fortress Corporation

Google Inc.

Objectvideo, Inc

Andrew J Martone

Alan J Lipton

Zhong Zhang

Peter L Venetianer

Weihong Yin

Li Yu

Yongtong Hu

David Robert Black

Amay Nitin Champaneria

Benjamin J McMahan

Douglas V Simpkinson

Joseph S Hurst

Kyle Scholz

Jason L Roberts

Niels Haering

Gary W Myers

Omar Javed

Zeeshan Rasheed

Haiying Liu

Robert A Cutting

David Conger

Ethan Shayne

Michael C Mannebach

James Morris

Chung-Cheng Yen

William Aldrich

Nathan D Borrebach

Satyajeet S Hoskote

A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

Video surveillance system employing video primitives

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a transport protocol independent communications library. In one aspect, a method includes receiving a communication request from a client device and processed according to a selected transport protocol, generating a response to the communication request, the response including data responsive to the communication request and one or more feature values specifying one or more communication features for the communication request, each communication feature being independent of the selected transport protocol, and providing the response to the communication request according to the selected transport protocol.

Transport protocol independent communications library

A video camera may overlook a monitored area from any feasible position. An object flow estimation module monitor the moving direction of the objects in the monitored area. It may separate the consistently moving objects from the other objects. A object count estimation module may compute the object density (e.g. crowd). A object density classification module may classify the density into customizable categories.

Object density estimation in video

Software capabilities of a video analytics device are obtained. The software of the video analytics device is configured. An output from the video analytics device is received. The output is sent to a user device.

Intelligent video network protocol

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San Francisco, CA, United States of America

Andrew J Martone