People Recognition in Image Sequences by Supervised Learning
dc.contributor.author | Nakajima, Chikahito | en_US |
dc.contributor.author | Pontil, Massimiliano | en_US |
dc.contributor.author | Heisele, Bernd | en_US |
dc.contributor.author | Poggio, Tomaso | en_US |
dc.date.accessioned | 2004-10-20T21:03:31Z | |
dc.date.available | 2004-10-20T21:03:31Z | |
dc.date.issued | 2000-06-01 | en_US |
dc.identifier.other | AIM-1688 | en_US |
dc.identifier.other | CBCL-188 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/7230 | |
dc.description.abstract | We describe a system that learns from examples to recognize people in images taken indoors. Images of people are represented by color-based and shape-based features. Recognition is carried out through combinations of Support Vector Machine classifiers (SVMs). Different types of multiclass strategies based on SVMs are explored and compared to k-Nearest Neighbors classifiers (kNNs). The system works in real time and shows high performance rates for people recognition throughout one day. | en_US |
dc.format.extent | 4611797 bytes | |
dc.format.extent | 373760 bytes | |
dc.format.mimetype | application/postscript | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.relation.ispartofseries | AIM-1688 | en_US |
dc.relation.ispartofseries | CBCL-188 | en_US |
dc.title | People Recognition in Image Sequences by Supervised Learning | en_US |