Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lin, Yen-Shuo | en_US |
dc.contributor.author | Lo, Kuo-Hua | en_US |
dc.contributor.author | Chen, Hua-Tsung | en_US |
dc.contributor.author | Chuang, Jen-Hui | en_US |
dc.date.accessioned | 2015-07-21T08:31:07Z | - |
dc.date.available | 2015-07-21T08:31:07Z | - |
dc.date.issued | 2013-01-01 | en_US |
dc.identifier.isbn | 978-1-4799-0015-2 | en_US |
dc.identifier.issn | 1945-7871 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/124955 | - |
dc.description.abstract | The widespread use of vision-based surveillance systems has inspires many research efforts on people localization. In this paper, a novel nonlinear image transform based on the vanishing point of vertical lines, entitled VP-transform, is proposed for enhancement of the people localization scheme proposed in [1]. Utilizing the characteristic that the extensions of vertical lines intersect at a vanishing point, the proposed transformation aims at producing rectified images wherein each standing/walking person will have an upright appearance. Thus, the degradation in localization accuracy, due to deviation of the constraint of camera configuration specified in [1], can be alleviated. Experimental results validate the effectiveness of the proposed image transform that significant improvement in people localization can be achieved. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Image transform | en_US |
dc.subject | people localization | en_US |
dc.subject | video surveillance | en_US |
dc.subject | multiple cameras | en_US |
dc.subject | probabilistic occupancy map | en_US |
dc.title | VP-TRANSFORM: A NOVEL VANISHING POINT-BASED IMAGE TRANSFORM FOR ENHANCEMENT OF PEOPLE LOCALIZATION | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2013 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME 2013) | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000346507500057 | en_US |
dc.citation.woscount | 0 | en_US |
Appears in Collections: | Conferences Paper |