Iteris, Inc.

Robert J Hwang

Michael T Whiting

Yan Gao

Todd William Kreter

Dilip Swaminathan

Shashank Jayaram Shivakumar

Wing Lam

Matthew W Linton

Robert Y Ung

A vehicular observation and detection apparatus and system incorporates a detection framework using video analysis to differentiate between motorized vehicles and bicycles for improved traffic flow and safety at intersections. The detection framework creates virtual zones overlaid on lanes of a roadway and analyzes input data representing objects in the virtual zones collected from one or more cameras positioned at or near the roadway.

Bicycle differentiation using video data analytics

Pedestrian detection and counting for traffic intersection control analyzes characteristics of a field of view of a traffic detection zone to determine a location and size of a pedestrian area, and applies protocols for evaluating pixel content in the field of view to identify individual pedestrians. The location and size of a pedestrian area is determined based either on locations of vehicle and bicycle detection areas or on movement of various objects within the field of view. Automatic pedestrian speed calibration with a region of interest for pedestrian detection is accomplished using lane and other intersection markings in the field of view. Detection and counting further includes identifying a presence, volume, velocity and trajectory of pedestrians in the pedestrian area of the traffic detection zone.

Calibration of pedestrian speed with detection zone for traffic intersection control

Pedestrian counting and detection at a traffic intersection based on object movement within a field of view

Pedestrian counting and detection at a traffic intersection based on location of vehicle zones

A multi-object zonal traffic detection framework analyzes temporal and spatial information from one or more sensors in a classification engine that identifies and differentiates objects within a single identified traffic detection zone. The classification engine applies a whole scene analysis and an adaptive background zone detection model to classify cars, trucks, bicycles, pedestrians, incidents, and other objects within the single identified traffic detection zone and generates counts for each object type for traffic system management.

Traffic detection with multiple outputs depending on type of object detected

A traffic management apparatus and system performs data processing functions on images in a video data stream to analyze differences between portions of the images and account for movement of a camera at a traffic intersection or other such environment. The traffic management apparatus and system is configured to be placed on a span wire or other non-fixed position at or near the traffic intersection.

Dynamic zone stabilization and motion compensation in a traffic management apparatus and system

Bicycle presence detection in a roadway using video data analytics

Growing community of inventors

Brea, CA, United States of America

Robert J Hwang