Cepstrum based method for moving shadow detection in video
buir.contributor.author | Çetin, A. Enis | |
buir.contributor.orcid | Çetin, A. Enis|0000-0002-3449-1958 | |
dc.citation.epage | 304 | en_US |
dc.citation.spage | 299 | en_US |
dc.contributor.author | Cogun, Fuat | en_US |
dc.contributor.author | Çetin, A. Enis | en_US |
dc.coverage.spatial | London, UK | |
dc.date.accessioned | 2016-02-08T12:22:59Z | |
dc.date.available | 2016-02-08T12:22:59Z | |
dc.date.issued | 2010-09 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 22-24 September, 2010 | |
dc.description | Conference name: Proceedings of the 25th International Symposium on Computer and Information Sciences, 2010 | |
dc.description.abstract | Moving shadows constitute problems in various applications such as image segmentation and object tracking. Main cause of these problems is the misclassification of the shadow pixels as target pixels. Therefore, the use of an accurate and reliable shadow detection method is essential to realize intelligent video processing applications. In this paper, the cepstrum based method for moving shadow detection is presented. The proposed method is tested on outdoor and indoor video sequences using well-known benchmark test sets. To show the improvements over previous approaches, quantitative metrics are introduced and comparisons based on these metrics are made. © 2011 Springer Science+Business Media B.V. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T12:22:59Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2010 | en |
dc.identifier.doi | 10.1007/978-90-481-9794-1_57 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/28527 | |
dc.language.iso | English | en_US |
dc.publisher | Springer | en_US |
dc.relation.isversionof | https://doi.org/10.1007/978-90-481-9794-1_57 | en_US |
dc.source.title | Proceedings of the 25th International Symposium on Computer and Information Sciences, 2010 | en_US |
dc.subject | Benchmark tests | en_US |
dc.subject | Cepstrum | en_US |
dc.subject | Intelligent video processing | en_US |
dc.subject | Misclassifications | en_US |
dc.subject | Moving shadow detection | en_US |
dc.subject | Object Tracking | en_US |
dc.subject | Quantitative metrics | en_US |
dc.subject | Shadow detections | en_US |
dc.subject | Video sequences | en_US |
dc.subject | Information science | en_US |
dc.subject | Pixels | en_US |
dc.subject | Tracking (position) | en_US |
dc.subject | Video recording | en_US |
dc.subject | Image segmentation | en_US |
dc.title | Cepstrum based method for moving shadow detection in video | en_US |
dc.type | Conference Paper | en_US |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Cepstrum based method for moving shadow detection in video.pdf
- Size:
- 656.5 KB
- Format:
- Adobe Portable Document Format
- Description:
- Full printable version