Real-Time System for Tracking and Classification of Pedestrians and Bicycles
Data on pedestrian and bicycle volumes are necessary for transportation planning, infrastructure design, and traffic management. Nevertheless, such data cannot be collected directly by the commonly used detectors (e.g., inductive loops, sonar, and microwaves). In this study, a pedestrian and bicycle tracking and classification system was developed to detect pedestrians and bicycles with a video camera. This system contained six modules: a video flow capture module, a movement detection module, a shadow removal module, a feature extraction module, a tracking module, and a classification module. The Gaussian mixture model was used to extract moving objects from an image sequence. In the tracking module, the most challenging part of this system, the trajectories were obtained by use of a Kalman filter. To identify pedestrians and bicycles, a backpropagation neural network was used in the classification module. Two other simple but effective algorithms were used to alleviate the negative impacts of shadows and occlusions. The system was tested at three sites under different traffic and environmental conditions. It has been confirmed that the accuracy for pedestrian detection was approximately 85% and the count error rate was less than 13% for bicycles at all test sites. The proposed system is a feasible alternative for the collection of data for nonmotorized travel modes.
- Record URL:
- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://www.trb.org/Main/Blurbs/Pedestrians_2010_165054.aspx
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Authors:
- Li, Juan
- Shao, Chunfu
- Xu, Wangtu
- Li, Jing
- Publication Date: 2010
Language
- English
Media Info
- Media Type: Print
- Features: Figures; Photos; References; Tables;
- Pagination: pp 83-92
- Monograph Title: Pedestrians 2010
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2198
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Accuracy; Algorithms; Automatic data collection systems; Bicycles; Detection and identification systems; Field tests; Image processing; Kalman filtering; Neural networks; Nonmotorized transportation; Pedestrians; Trajectory; Video cameras
- Geographic Terms: Beijing (China)
- Subject Areas: Data and Information Technology; Pedestrians and Bicyclists; I70: Traffic and Transport;
Filing Info
- Accession Number: 01151037
- Record Type: Publication
- ISBN: 9780309160742
- Report/Paper Numbers: 10-2276
- Files: TRIS, TRB, ATRI
- Created Date: Feb 22 2010 8:52AM