Vision-based frontal vehicle detection and tracking
This paper presents a vision-based driver assistance system composing of vehicle detection using knowledge-based method and vehicle tracking using Kalman filtering.First, a preceding vehicle is localized by a proposed detection scheme, consisting of shadow detection and brake lights detection.Secon...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/13470/1/PID53.pdf |
| _version_ | 1825803191522951168 |
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| author | Lim, King Hann Seng, Kah Phooi Ang, Li-Minn Chin, Siew Wen |
| author_facet | Lim, King Hann Seng, Kah Phooi Ang, Li-Minn Chin, Siew Wen |
| author_sort | Lim, King Hann |
| collection | UUM |
| description | This paper presents a vision-based driver assistance system composing of vehicle detection using knowledge-based method and vehicle tracking using Kalman filtering.First, a preceding
vehicle is localized by a proposed detection scheme, consisting of shadow detection and brake lights detection.Second, the possible vehicle region is extracted for verification. Symmetry
analysis includes contour and brake lights symmetries are performed and followed by an asymmetry contour analysis in order to obtain vehicle’s center.The center of vehicle is tracked
continuously using Kalman filtering within a predicted subwindow in consecutive frames.It reduces the scanning process and maximizes the computational speed of vehicle detection. Simulation results demonstrate good performance of the proposed system. |
| first_indexed | 2024-07-04T05:52:48Z |
| format | Conference or Workshop Item |
| id | uum-13470 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:52:48Z |
| publishDate | 2009 |
| record_format | eprints |
| spelling | uum-134702015-04-01T03:28:56Z https://repo.uum.edu.my/id/eprint/13470/ Vision-based frontal vehicle detection and tracking Lim, King Hann Seng, Kah Phooi Ang, Li-Minn Chin, Siew Wen QA76 Computer software This paper presents a vision-based driver assistance system composing of vehicle detection using knowledge-based method and vehicle tracking using Kalman filtering.First, a preceding vehicle is localized by a proposed detection scheme, consisting of shadow detection and brake lights detection.Second, the possible vehicle region is extracted for verification. Symmetry analysis includes contour and brake lights symmetries are performed and followed by an asymmetry contour analysis in order to obtain vehicle’s center.The center of vehicle is tracked continuously using Kalman filtering within a predicted subwindow in consecutive frames.It reduces the scanning process and maximizes the computational speed of vehicle detection. Simulation results demonstrate good performance of the proposed system. 2009-06-24 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/13470/1/PID53.pdf Lim, King Hann and Seng, Kah Phooi and Ang, Li-Minn and Chin, Siew Wen (2009) Vision-based frontal vehicle detection and tracking. In: International Conference on Computing and Informatics 2009 (ICOCI09), 24-25 June 2009, Legend Hotel, Kuala Lumpur. http://www.icoci.cms.net.my |
| spellingShingle | QA76 Computer software Lim, King Hann Seng, Kah Phooi Ang, Li-Minn Chin, Siew Wen Vision-based frontal vehicle detection and tracking |
| title | Vision-based frontal vehicle detection and tracking |
| title_full | Vision-based frontal vehicle detection and tracking |
| title_fullStr | Vision-based frontal vehicle detection and tracking |
| title_full_unstemmed | Vision-based frontal vehicle detection and tracking |
| title_short | Vision-based frontal vehicle detection and tracking |
| title_sort | vision based frontal vehicle detection and tracking |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/13470/1/PID53.pdf |
| work_keys_str_mv | AT limkinghann visionbasedfrontalvehicledetectionandtracking AT sengkahphooi visionbasedfrontalvehicledetectionandtracking AT angliminn visionbasedfrontalvehicledetectionandtracking AT chinsiewwen visionbasedfrontalvehicledetectionandtracking |