Abstract
Good performance of pedestrian detection in an automatic driving system is a necessary task. Many pedestrian detection algorithm use Histogram Oriented Gradient (HOG) for feature extraction and Support Vector Machine (SVM) for classification. Some papers use additional features with HOG, such as Local Binary Pattern (HOG-LBP), to improve the performance. Neural Network and Extreme Learning Machine (ELM) are also used for classification like SVM, but SVM always finds global optimum for classification. This paper adds algorithm to this HOG, SVM system for improving the detection performance. This paper proposes a new method which uses pose of pedestrian. The proposed model outperforms conventional method in SDL dataset.
| Original language | English |
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| Title of host publication | iFUZZY 2014 - 2014 International Conference on Fuzzy Theory and Its Applications, Conference Digest |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 199-202 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781479945887 |
| DOIs | |
| Publication status | Published - 2014 Apr 21 |
| Event | 2014 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2014 - Kaohsiung, Taiwan, Province of China Duration: 2014 Nov 26 → 2014 Nov 28 |
Publication series
| Name | iFUZZY 2014 - 2014 International Conference on Fuzzy Theory and Its Applications, Conference Digest |
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Other
| Other | 2014 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2014 |
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| Country/Territory | Taiwan, Province of China |
| City | Kaohsiung |
| Period | 14/11/26 → 14/11/28 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
All Science Journal Classification (ASJC) codes
- Control and Optimization
- Logic
- Computational Theory and Mathematics
- Computer Science Applications