Vehicle speed detection in video image sequences using CVS method
Video and image processing has been used for traffic surveillance, analysis and monitoring of traffic conditions in many cities and urban areas. This paper aims to present another approach to estimate the vehicles velocity. In this study, the captured traffic movies are collected with a stationary c...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Academic Journals
2010
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/8775/1/Vehicle_speed_detection_in_video_image_sequences_using_CVS_method.pdf http://eprints.um.edu.my/8775/ http://www.scopus.com/inward/record.url?eid=2-s2.0-79751489947&partnerID=40&md5=9f271f603b5d67b4e3047b4c135af497 http://umexpert.um.edu.my/file/publication/0000314564925.pdf |
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| Institution: | Universiti Malaya |
| Language: | English |
| Summary: | Video and image processing has been used for traffic surveillance, analysis and monitoring of traffic conditions in many cities and urban areas. This paper aims to present another approach to estimate the vehicles velocity. In this study, the captured traffic movies are collected with a stationary camera which is mounted on a freeway. The camera was calibrated based on geometrical equations that were supported directly by using references. Camera calibration for exact measurements may be possible while accurate speed estimation can still be quite difficult to achieve. The designed system has the ability to be extended to another related traffic application. The average error of the detected vehicle speed was ± 7 km/h and the experiment was operated at different resolutions and different video sequences. |
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