DocumentCode :
3743098
Title :
A New Improvement of Human Bodies Detection
Author :
Claudia Cervantes-Jilaja;Maria Tejada-Begazo; Pati?o-Escarcina;Dennis Barrios-Aranibar
Author_Institution :
Lab. de Robot. y Vision Computacional, Univ. Catolica San Pablo, Arequipa, Peru
fYear :
2015
Firstpage :
315
Lastpage :
319
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%.
Keywords :
"Face","Biological system modeling","Sensors","Face detection","Libraries","Lighting"
Publisher :
ieee
Conference_Titel :
Robotics Symposium (LARS) and 2015 3rd Brazilian Symposium on Robotics (LARS-SBR), 2015 12th Latin American
Type :
conf
DOI :
10.1109/LARS-SBR.2015.53
Filename :
7402184
Link To Document :
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