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Please use this identifier to cite or link to this item: 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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