Vision based pedestrian detection using histogram of oriented gradients, Adaboost & linear support vector machines

Vision based pedestrian detection using histogram of oriented gradients, Adaboost & linear support vector machines

Pedestrian detection systems are valuable in a variety of applications such as in advanced driver assistance systems and advanced robots. This study presents a pedestrian detection system that uses Histogram of Oriented Gradients (HOG) as feature descriptor, and AdaBoost and Linear Support Vector Ma...

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Bibliographic Details
Main Authors: Hilado, Samantha D. F., Dadios, Elmer P., Gan Lim, Laurence A., Sybingco, Edwin, Marfori, Isidro V., Chua, Alvin Y.
Format: text
Published: Animo Repository 2012
Subjects:
Boosting (Algorithms)
Pedestrian traffic flow
Pedestrians
Mechanical Engineering
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/1375
https://animorepository.dlsu.edu.ph/context/faculty_research/article/2374/type/native/viewcontent
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Institution: De La Salle University
Description
Summary:Pedestrian detection systems are valuable in a variety of applications such as in advanced driver assistance systems and advanced robots. This study presents a pedestrian detection system that uses Histogram of Oriented Gradients (HOG) as feature descriptor, and AdaBoost and Linear Support Vector Machines (SVM) as classifiers. The entire system is tested and evaluated in both publicly available databases and personally acquired videos. The pedestrian detection system has been tested and results show that it can detect pedestrians. Experiments showed that the system is up 20% faster compared to OpenCV's default detector. © 2012 IEEE.

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