Browsing by Author "Tejada Begazo, Maria"

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    A New Improvement of Human Bodies Detection
    (Institute of Electrical and Electronics Engineers Inc., 2016) Cervantes Jilaja, Claudia; Tejada Begazo, Maria; Patiño Escarcina, Raquel Esperanza; Barrios Aranibar, Dennis
    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.
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    Morphological Operators Applied to Human Body Detection HOG Method Improvement
    (Institute of Electrical and Electronics Engineers Inc., 2016) Tejada Begazo, Maria; Cervantes Jilaja, Claudia; Patiño Escarcina, Raquel Esperanza; Barrios Aranibar, Dennis
    The HOG method is applied in the detection of human bodies, specially when they are in a vertical position and in many backgrounds. HOG method was evaluated before in different applications such as pedestrian detection, video surveillance, search and rescue. However, when human bodies are in other positions, most of the time, body recognition algorithms present fails. The main idea presented in this research, is the evaluation of different morphological operators applied to improve the HOG method. These experiments show that the results of combining HOG method with morphological operators are better than just using the HOG method. In this research the HOG method combined with morphological operator close (86, 62%) and Erode (84, 35%) had better results than HOG without this pre-processing (77, 32%). © 2015 IEEE.