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http://hdl.handle.net/UCSP/15840| Title: | A New Improvement of Human Bodies Detection |
| Authors: | Cervantes Jilaja, Claudia Tejada Begazo, Maria Patiño Escarcina, Raquel Esperanza Barrios Aranibar, Dennis |
| Keywords: | Classification (of information);Erosion;Cascade classifiers;Human bodies;Morphological faces;Morphological operator;Vertical positions;Robotics |
| Issue Date: | 2016 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| metadata.dc.relation.uri: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964345034&doi=10.1109%2fLARS-SBR.2015.53&partnerID=40&md5=9da9ec6eca204f81f428ae5c37830a1b |
| Abstract: | The HOG method is applied in the detection of human bodies in an vertical position. However, when human bodies are in other positions, HOG method has several fails, another disadvantage of this method is the occlusion of human bodies by objects. This research presents a new improvement to HOG method with erosion morphological operator and cascade classifier (vector points describing the face of a person). The experiments show that the improved HOG method add erosion operator and classifier of faces (MFHD, Morphological Face HOG Detection) in 79.02% with respect the HOG method whose percentage is 64.46%. © 2015 IEEE. |
| URI: | http://repositorio.ucsp.edu.pe/handle/UCSP/15840 |
| ISBN: | urn:isbn:9781467371292 |
| Appears in Collections: | Artículos - Ciencia de la computación |
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