Abstract
This paper proposed a new pedestrian detection method with depth information based on Histogram of Oriented Gradient and Support Vector Machin. According to the principle of perspective, use the different classifier with different scale in different position of the image to reduce the detection time. At the same time, Adding the Hard Examples to negative sample to decrease the false positive rate and improve the accuracy of detection.
Original language | English |
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Title of host publication | Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 311-314 |
Number of pages | 4 |
ISBN (Electronic) | 9781509035588 |
DOIs | |
Publication status | Published - 2 Jul 2016 |
Event | 9th International Symposium on Computational Intelligence and Design, ISCID 2016 - Hangzhou, Zhejiang, China Duration: 10 Dec 2016 → 11 Dec 2016 |
Publication series
Name | Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016 |
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Volume | 1 |
Conference
Conference | 9th International Symposium on Computational Intelligence and Design, ISCID 2016 |
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Country/Territory | China |
City | Hangzhou, Zhejiang |
Period | 10/12/16 → 11/12/16 |
Keywords
- Feature extraction
- Intersection
- Pedestrian detection
- classification and localization
- depth information
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Xu, X., Zhang, Z., Li, W., & Tan, H. (2016). Research on Pedestrian Detection Method Based on the Intersection with Fixed Camera. In Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016 (pp. 311-314). Article 7830352 (Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCID.2016.1078