01517565

Component

https://doi.org/10.3141/2460-07

Vision-based traffic surveillance systems are among the most reliable, inexpensive, and highly applicable methodologies for surveying traffic conditions. The implementation of these strategies, however, is limited under certain conditions, such as the presence of vehicle occlusions or poor illumination conditions that lead to either overcounted or undercounted traffic data. The proposed motion-based methodology is intended to overcome these limitations by using a new technique for full-body occlusion handling of vehicles. The methodology is based on five main steps: calibration, detection, tracking, counting, and occlusion handling. The proposed methodology was tested with various 30-min videos and 452 preidentified cases of occlusion. Preliminary results indicated that the proposed methodology was reliable and robust in providing traffic density analysis. Future work may rely on the extension of the proposed methodology to deal with the detection of vehicles moving toward multiple directions.

01559855

14-1883

English

pp 58–65

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295529

Print

Figures (1) ; References (36) ; Tables (1)

Automatic vehicle detection and identification systems; Methodology; Traffic density; Traffic surveillance

Occlusion

Data and Information Technology; Highways; Planning and Forecasting; I71: Traffic Theory

TRIS, TRB, ATRI

Jan 27 2014 2:40PM

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