Abstract
Pedestrian detection method is the highest priority for "active safety" which prevents traffic accidents before happens. In previous studies, edge orientation based feature descriptors are proposed. Recently, high standard detection algorithm, Co-occurrence Histograms of Oriented Gradients (CoHOG) is proposed. However, this method has miss detection in complicated situation and processing cost is high. We propose symmetrical judgment algorithm and an extended version of CoHOG for high speed and high accuracy pedestrian detection. The effectiveness of the proposed method was proved on pedestrian detection performance test.
| Original language | English |
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| Title of host publication | Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011 |
| Pages | 536-539 |
| Number of pages | 4 |
| Publication status | Published - 2011 Dec 1 |
| Event | 12th IAPR Conference on Machine Vision Applications, MVA 2011 - Nara, Japan Duration: 2011 Jun 13 → 2011 Jun 15 |
Publication series
| Name | Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011 |
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Other
| Other | 12th IAPR Conference on Machine Vision Applications, MVA 2011 |
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| Country | Japan |
| City | Nara |
| Period | 11/6/13 → 11/6/15 |
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ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
Cite this
Kataoka, H., & Aoki, Y. (2011). Symmetrical judgment and improvement of CoHOG feature descriptor for pedestrian detection. In Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011 (pp. 536-539). (Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011).