A New Improvement of Human Bodies Detection

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Date
2016
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
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.
Description
Keywords
Classification (of information) , Erosion , Cascade classifiers , Human bodies , Morphological faces , Morphological operator , Vertical positions , Robotics
Citation
URI
https://hdl.handle.net/20.500.12590/15840
Collections
Artículos - Ciencias de la Computación