Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tseng, ST | en_US |
dc.contributor.author | Song, KT | en_US |
dc.date.accessioned | 2014-12-08T15:26:33Z | - |
dc.date.available | 2014-12-08T15:26:33Z | - |
dc.date.issued | 2002 | en_US |
dc.identifier.isbn | 0-7803-7389-8 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/18853 | - |
dc.description.abstract | This paper presents an image tracking system and its application to traffic parameter estimation at a road intersection. Active contour model is adopted to obtain vehicle locations of motocycles as well As Automobiles. Image location measurement is further incorporated with Kalman filter technique to track the individual vehicle motion. To initialize image tracking at a junction, we propose a design based on the concept of contour growing. Traffic parameters such as vehicle speed and numbers of vehicles can be calculated with satisfactory accuracy. Actual CCD camera images of a busy junction were employed to verify the proposed method. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | intelligent transportation system | en_US |
dc.subject | image tracking | en_US |
dc.subject | Kalman filter | en_US |
dc.subject | active contour model | en_US |
dc.subject | traffic monitoring | en_US |
dc.title | Real-time image tracking for traffic monitoring | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | IEEE 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, PROCEEDINGS | en_US |
dc.citation.spage | 1 | en_US |
dc.citation.epage | 6 | en_US |
dc.contributor.department | 電控工程研究所 | zh_TW |
dc.contributor.department | Institute of Electrical and Control Engineering | en_US |
dc.identifier.wosnumber | WOS:000180358300001 | - |
Appears in Collections: | Conferences Paper |