Objectvideo, Inc

Avigilon Fortress Corporation

Aeva, Inc.

Stereovision Imaging, Inc.

Digital Signal Corporation

Péter L Venetianer

Alan J Lipton

Randall J St Romain, Ii

Weihong Yin

Miraj Shah

Zhong Zhang

Li Yu

Andrew J Chosak

Gary W Myers

John I W Clark

Haiying Liu

Chris Roller

Donald Gerard Madden

Niels Haering

Matthew F Frazier

Khurram Hassan-Shafique

James S Sfekas

Ambrose Jay Slone

Geoffrey Egnal

Michael C Mannebach

Paul C Brewer

Omar Javed

Zeeshan Rasheed

W Andrew Scanlon

Yongtong Hu

Steve Titus

James Morris

Bruce Thompson

Amit Mistry

John Ian Wallace Clark

Systems and methods for controlling camera settings of a camera to improve detection of faces in an uncontrolled environment are described. A first image is received from the camera, where the first image is captured by the camera at a first set of camera settings. A face is detected in the first image. The camera is adjusted to a second set of camera settings based on the detected face, where the second set of camera settings different from the first set of camera settings. A second image is received from the camera, where the second image is captured by the camera at the second set of camera settings. The face is detected in the second image. A quality metric of the face in the second image is determined where the quality metric is indicative of an image quality of the face in the second image. The camera is adjusted to a new set of camera settings to increase the quality metric of the face in subsequent images, the new set of camera settings different from both the first set of camera settings and the second set of camera settings. Once a sufficient quality metric of the face is achieved, the face is acquired, or otherwise captured, by the camera or other sensors.

System and method for intelligent camera control

A system and method for improving a video characteristic of a video stream is described. According to various implementations of the invention, a changed region between a later-in-time image frame and an earlier-in-time image frame and an unchanged region between such two image frames are determined. A new improvement to the video characteristic is determined and applied to the changed region of the later-in-time image frame. A prior improvement to the video characteristic that was determined for the earlier-in-time image frame is applied to the unchanged region of the later-in-time image frame.

System and method for improving an image characteristic of image frames in a video stream

Provided is a computer-implemented method for processing one or more video frames. The meth can include generating, by a processor, a change in value of one or more pixels obtained from the one or more video frames; classifying, by the processor, the change in value of the one or more pixels to produce one or more classes of the change in value of the one or more pixels, wherein the one or more classes include one or more of a stationary target, a moving target, a target insertion, a target removal, or a local change; and constructing, by the processor, a listing of detected targets based on the one or more classes.

Stationary target detection by exploiting changes in background model

Various implementations of the invention perform facial recognition on a target image compared against a color image from an image gallery, where the target image was acquired by an infrared-sensitive camera of a target that was illuminated with infrared light. According to various implementations of the invention, a blue component and a green component of the pixels in the color image are suppressed or eliminated, and facial recognition is performed between the target image and the color-suppressed image.

System and method for facial recognition using images captured from a target illuminated with infrared light

According to various implementations of the invention, a changed region between a later-in-time image frame and an earlier-in-time image frame and an unchanged region between such two image frames are determined. A new improvement to the video characteristic is determined and applied to the changed region of the later-in-time image frame. A prior improvement to the video characteristic that was determined for the earlier-in-time image frame is applied to the unchanged region of the later-in-time image frame.

A sensing device includes: a video imager to obtain a video; a processing unit to receive and process the video from the video imager; and a communication channel to output non-imagery signals.

Video imagery-based sensor

A method of monitoring a point of sale (POS) transaction including: receiving non video data regarding the POS transaction; defining exceptional transaction rules based at least on predetermined non video POS data events; inferring a potentially exceptional transaction based on a corresponding exceptional transaction rule and the received POS non video data; and verifying the inferred potentially exceptional transaction with video data regarding a corresponding POS transaction.

Intelligent video verification of point of sale (POS) transactions

Growing community of inventors

McLean, VA, United States of America

Péter L Venetianer