Dynamic Traffic Information from Remote Video Monitors Environmental Research Institute of Michigan

Format:

Conference/Event

Author/Creator:

Gilbert, R. Kent, author.

Conference Name:

Vehicle Navigation & Instrument Systems (1991-10-01 : Warrendale, Pennsylvania, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 1991

Summary:

Real-time video of traffic scenes contain a wealth of information not available from conventional point detectors. In addition to the instantaneous, wide-area coverage provided by image data, image sequences capture the dynamic aspects of the traffic. Initially, researchers concentrated on minimizing hardware complexity, and thus cost, at the expense of sophisticated algorithms that could more fully exploit the information inherent in image data. If image data could be processed in real-time to produce a track file for each object of interest, then the traffic flow through the scene would be fully characterized for traffic management purposes. This paper presents the status of work in process at the Environmental Research Institute of Michigan (ERIM) to develop real-time image processing algorithms for detecting and tracking vehicles in actual traffic settings. The image processing techniques for detecting and tracking will be illustrated, the corresponding computational resources will be described, and preliminary results on typical video sequences will be presented

Notes:

Vendor supplied data

Publisher Number:

912755

Access Restriction:

Restricted for use by site license