A New improvement of Human Bodies Detection

Conference proceedings article


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Publication Details

Author list: Cervantes-Jilaja C, Tejada-Begazo M, Patino-Escarcina RE, Barrios-Aranibar D
Publisher: IEEE
Publication year: 2015
Start page: 315
End page: 319
Number of pages: 5
ISBN: 978-1-4673-7129-2
Languages: English-Great Britain (EN-GB)


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%.


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Last updated on 2019-23-08 at 11:15