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