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 |
|---|---|
| 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 |
| Event | 12th IAPR Conference on Machine Vision Applications, MVA 2011 - Nara, Japan Duration: 2011 Jun 13 → 2011 Jun 15 |
Other
| Other | 12th IAPR Conference on Machine Vision Applications, MVA 2011 |
|---|---|
| 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
Symmetrical judgment and improvement of CoHOG feature descriptor for pedestrian detection. / Kataoka, Hirokatsu; Aoki, Yoshimitsu.
Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011. 2011. p. 536-539.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Symmetrical judgment and improvement of CoHOG feature descriptor for pedestrian detection
AU - Kataoka, Hirokatsu
AU - Aoki, Yoshimitsu
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84872508470&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872508470&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84872508470
SN - 9784901122115
SP - 536
EP - 539
BT - Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011
ER -