RECENT TRENDS IN MACHINE VISION TECHNOLOGY
ABSTRACT
Successful deployment of state-of-the-art technology in the field is essential to support the ITS movement. One of the new technologies which is gaining acceptance among practicing traffic engineers is wide area video detection (machine vision). This paper presents the successful deployment of this technology in recently completed and operational projects for freeway traffic management. Even though the technology can and is employed in any traffic management application requiring vehicle detection and wide area data extraction, incident management appears to be the most popular application of this technology on freeways at this early stage.
However, despite continuous efforts worldwide, fast and reliable automated incident detection and management has been elusive. Conventional, automated techniques based on computerized algorithms have been less effective than desired for operational use as they generate a high level of false alarms or missed incidents. Manual, operator-assisted methods, on the other hand, minimize the false alarm risk but also suffer from missed or delayed detections, are labor intensive, and restrict the potential benefits of advanced integrated traffic management as they require human attention for detecting incidents rather than confirming, responding, and managing them through computer-aided means.
Video detection is receiving much attention for incident detection applications because of its ability to detect over a wide area. Video detection has now been available commercially for several years and is gaining acceptance as a more effective tool than conventional inductive loop detectors. The additional benefits of using video are many. Key is the ability to cover many lanes with one camera and extract wide area measurements, such as density, queue length, speed profiles and others.
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