Fuzzy transform and support vector machine for pedestrian detection

被引：0
|
作者：
Stuchlik, Lukas
Vlasanek, Pavel
机构：
来源：
2018 JOINT 7TH INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV) AND 2018 2ND INTERNATIONAL CONFERENCE ON IMAGING, VISION & PATTERN RECOGNITION (ICIVPR) | 2018年
关键词：
F-transform; image processing; pedestrian detection; svm; RECOGNITION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper focuses on a task of automatic pedestrian detection. There arc many possible solutions with several ideas behind. Histogram of oriented gradients is among the popular ones. The former is used as a descriptor of the input image together with support vector machine. In this initial study, we propose to create a feature vector using fuzzy mathematics and test its effectiveness. The effectiveness is evaluated by comparison with original histogram of oriented gradient descriptors in support vector machine.
引用
收藏
页码：344 / 348
页数：5
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