Automatic Real-time Vehicle Classification by Image Colour Component Based Template Matching
| dc.cclicence | CC-BY-NC | en |
| dc.contributor.author | Orun, A. | |
| dc.date.acceptance | 2000-01 | |
| dc.date.accessioned | 2022-10-20T09:06:05Z | |
| dc.date.available | 2022-10-20T09:06:05Z | |
| dc.date.issued | 2000-05 | |
| dc.description.abstract | Selection of appropriate template matching algorithms to run effectively on real-time low-cost systems is always major issue. This is due to unpredictable changes in image scene which often necessitate more sophisticated real-time algorithms to retain image consistency. Inefficiency of low cost auxiliary hardware and time limitations are the major constraints in using these sorts of algorithms. The real-time system introduced here copes with these problems utilising a fast running template matching algorithm, which makes use of best colour band selection. The system uses fast running real-time algorithms to achieve template matching and vehicle classification at about 4 frames /sec. on low-cost hardware. The colour image sequences have been taken by a fixed CCTV camera overlooking a busy multi-lane road. | en |
| dc.funder | No external funder | en |
| dc.identifier.citation | Orun, A. (2000) Automatic Real-time Vehicle Classification by Image Colour Component Based Template Matching. arXiv | en |
| dc.identifier.doi | https://doi.org/10.48550/arXiv.2210.06586 | |
| dc.identifier.uri | https://hdl.handle.net/2086/22252 | |
| dc.language.iso | en | en |
| dc.peerreviewed | Yes | en |
| dc.publisher | arXiv | en |
| dc.researchinstitute | Institute of Artificial Intelligence (IAI) | en |
| dc.subject | vehicle classification | en |
| dc.subject | CCTV | en |
| dc.subject | template matching | en |
| dc.subject | image processing | en |
| dc.title | Automatic Real-time Vehicle Classification by Image Colour Component Based Template Matching | en |
| dc.type | Article | en |