Abstract: Methods and systems for quickly and accurately identifying a coded identification tag imaged by conventional CCTV video monitoring equipment are presented herein. In one aspect, a coded identification tag includes a plurality of dark-colored polygons arranged around a light-colored central background area to maximize contrast between the polygons and the central background area. An array of dark-colored dots is arranged over the light-colored central background area. A light-colored border is located around the plurality of dark-colored polygons. A Coded Identification Tag Monitoring (CITM) system estimates the position and orientation of the coded identification tag with respect to the collected image based on the unique orientation of the coded identification tag with respect to an image frame. In some examples, the CITM system decodes the coded identification tag when the tag occupies less than 10% of the area of the image collected by the video imaging system.

Abstract: Methods and systems for quickly and accurately identifying a coded identification tag imaged by conventional CCTV video monitoring equipment are presented herein. In one aspect, a coded identification tag includes a plurality of dark-colored polygons arranged around a light-colored central background area to maximize contrast between the polygons and the central background area. An array of dark-colored dots is arranged over the light-colored central background area. A light-colored border is located around the plurality of dark-colored polygons. A Coded Identification Tag Monitoring (CITM) system estimates the position and orientation of the coded identification tag with respect to the collected image based on the unique orientation of the coded identification tag with respect to an image frame. In some examples, the CITM system decodes the coded identification tag when the tag occupies less than 10% of the area of the image collected by the video imaging system.

Abstract: Methods and systems for estimating the speed of passing vehicles based on License Plate Recognition (LPR) image information are described herein. The distance traversed by a vehicle between image frames is estimated based on a difference between a pixel location of a tracking point on the vehicle in a first image and a second pixel location of the tracking point in second image of the vehicle. In some embodiments, the displacement identified in the images is converted to a projected displacement on the roadway surface based on the mapping between pixel locations within the field of view of the image sensor and locations on the surface of the roadway. The projected displacement is corrected by accounting for the difference in height of the camera module and tracking point over the roadway surface. An estimate of vehicle speed is calculated from the corrected displacement and the elapsed time between image frames.