Computer Vision Traffic Sensor for Fixed and Pan-Tilt-Zoom Cameras
Stanley T. Birchfield, Wayne Sarasua, Neeraj K. Kanhere · NCHRP-IDEA Program Project Final Report · 2010
This Innovations Deserving Exploratory Analysis (IDEA) project involved the development, installation, and evaluation of a next generation computer vision traffic sensor capable of collecting traffic parameters such as count, speed, and classification data from a single camera sensor. In contrast to existing video-based commercial systems relying upon virtual detectors, the proposed sensor relies upon recent developments in computer vision to actually track vehicles through the camera's field of view. This tracking technology enables the system to overcome many of the limitations of previous approaches, such as distractions due to reflections, shadows, perspective effects, and congestion.