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- Publisher Website: 10.1109/ITSC.1999.821145
- Scopus: eid_2-s2.0-0033309764
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Conference Paper: Vehicle-type identification through automated virtual loop assignment and block-based direction biased motion estimation
Title | Vehicle-type identification through automated virtual loop assignment and block-based direction biased motion estimation |
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Authors | |
Keywords | Transportation |
Issue Date | 1999 |
Publisher | IEEE. |
Citation | Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc, 1999, p. 692-696 How to Cite? |
Abstract | This paper presents the concept of automated virtual loop assignment and loop-based motion estimation in vehicle-type identification. A major departure of our method from previous approaches is that the loops are automatically assigned to each lane; the size of virtual loops is much smaller for estimation accuracy; and the number of virtual loops per lane is large. Comparing this with traditional ILD, there are a number of advantages. First, the size and number of virtual loops may be varied to fine-tune detection accuracy and fully utilize computing resources. Second, there is no failure rate associated with the virtual loops and installation and maintenance cost can be kept to a minimum. Third, virtual loops may be re-allocated anywhere on the frame, giving flexibility in detecting different parameters. |
Persistent Identifier | http://hdl.handle.net/10722/46156 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yung, NHC | en_HK |
dc.contributor.author | Chan, KC | en_HK |
dc.contributor.author | Lai, AHS | en_HK |
dc.date.accessioned | 2007-10-30T06:43:42Z | - |
dc.date.available | 2007-10-30T06:43:42Z | - |
dc.date.issued | 1999 | en_HK |
dc.identifier.citation | Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc, 1999, p. 692-696 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/46156 | - |
dc.description.abstract | This paper presents the concept of automated virtual loop assignment and loop-based motion estimation in vehicle-type identification. A major departure of our method from previous approaches is that the loops are automatically assigned to each lane; the size of virtual loops is much smaller for estimation accuracy; and the number of virtual loops per lane is large. Comparing this with traditional ILD, there are a number of advantages. First, the size and number of virtual loops may be varied to fine-tune detection accuracy and fully utilize computing resources. Second, there is no failure rate associated with the virtual loops and installation and maintenance cost can be kept to a minimum. Third, virtual loops may be re-allocated anywhere on the frame, giving flexibility in detecting different parameters. | en_HK |
dc.format.extent | 608044 bytes | - |
dc.format.extent | 2048 bytes | - |
dc.format.extent | 10863 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | text/plain | - |
dc.format.mimetype | text/plain | - |
dc.language | eng | en_HK |
dc.publisher | IEEE. | en_HK |
dc.relation.ispartof | IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC | en_HK |
dc.rights | ©1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | - |
dc.subject | Transportation | en_HK |
dc.title | Vehicle-type identification through automated virtual loop assignment and block-based direction biased motion estimation | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Yung, NHC:nyung@eee.hku.hk | en_HK |
dc.identifier.authority | Yung, NHC=rp00226 | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1109/ITSC.1999.821145 | en_HK |
dc.identifier.scopus | eid_2-s2.0-0033309764 | en_HK |
dc.identifier.hkuros | 50034 | - |
dc.identifier.spage | 692 | en_HK |
dc.identifier.epage | 696 | en_HK |
dc.identifier.scopusauthorid | Yung, NHC=7003473369 | en_HK |
dc.identifier.scopusauthorid | Chan, KC=24331046500 | en_HK |
dc.identifier.scopusauthorid | Lai, AHS=7102225794 | en_HK |