01155781

Component

Video Image Processing System (VIPS) is more efficient than other detecting systems. However, VIPS involves outdoor images and is very sensitive to the external environment, which could greatly decrease its accuracy according to rapid environmental changes. To obtain accurate traffic data accordingly, VIPS must address the problems such as growing shadows in transition; distortion of images due to the headlights at night; noises caused by the rain, snow or fog; and occlusions. This study intends to accurately calculate traffic data while addressing the shadow and occlusion problems, which are the most difficult tasks for the image-detector-based traffic data system. In this study, an algorithm for the individual vehicle tracking collection was developed to address the occlusion problem and to eliminate the noises or shadows caused by external environmental factors. A robust traffic data collection system was also proposed in order to accurately track individual vehicles that pass through the detection region. In addition, for the purpose of establishing an integrated system, an image processing optimization algorithm for the vehicle detection system was also proposed.

01147878

10-0872

English

27p

2010

Transportation Research Board 89th Annual Meeting

DVD

Figures (9) ; References (20) ; Tables (1)

Automatic data collection systems; Automatic vehicle detection and identification systems; Data quality; Digital cameras; Image analysis; Intelligent transportation systems; Video imaging detectors

Data and Information Technology; Highways; Vehicles and Equipment

Transportation Research Board Annual Meeting 2010 Paper #10-0872

BTRIS, TRIS, TRB

Jan 25 2010 10:24AM