Abstract
In this paper, a novel feature named bidirectional local template patterns (B-LTP) is proposed for use in pedestrian detection in still images. B-LTP is a combination and modification of two features, histogram of templates (HOT) and center-symmetric local binary patterns (CS-LBP). For each pixel, B-LTP defines four templates, each of which contains the pixel itself and two neighboring center-symmetric pixels. For each template, it then calculates information from the relationships among these three pixels and from the two directional transitions across these pixels. Moreover, because the feature length of B-LTP is small, it consumes less memory and computational power. Experimental results on an INRIA dataset show that the speed and detection rate of our proposed B-LTP feature outperform those of other features such as histogram of orientated gradient (HOG), HOT, and covariance matrix (COV).
| Original language | English |
|---|---|
| Pages (from-to) | 1204-1213 |
| Number of pages | 10 |
| Journal | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences |
| Volume | E96-A |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2013 Jun |
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Keywords
- Bidirectional local template patterns
- Feature extraction
- Pedestrian detection
- Support vector machine
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Graphics and Computer-Aided Design
- Applied Mathematics
- Signal Processing
Cite this
Bidirectional local template patterns : An effective and discriminative feature for pedestrian detection. / Xu, Jiu; Jiang, Ning; Goto, Satoshi.
In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E96-A, No. 6, 06.2013, p. 1204-1213.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Bidirectional local template patterns
T2 - An effective and discriminative feature for pedestrian detection
AU - Xu, Jiu
AU - Jiang, Ning
AU - Goto, Satoshi
PY - 2013/6
Y1 - 2013/6
N2 - In this paper, a novel feature named bidirectional local template patterns (B-LTP) is proposed for use in pedestrian detection in still images. B-LTP is a combination and modification of two features, histogram of templates (HOT) and center-symmetric local binary patterns (CS-LBP). For each pixel, B-LTP defines four templates, each of which contains the pixel itself and two neighboring center-symmetric pixels. For each template, it then calculates information from the relationships among these three pixels and from the two directional transitions across these pixels. Moreover, because the feature length of B-LTP is small, it consumes less memory and computational power. Experimental results on an INRIA dataset show that the speed and detection rate of our proposed B-LTP feature outperform those of other features such as histogram of orientated gradient (HOG), HOT, and covariance matrix (COV).
AB - In this paper, a novel feature named bidirectional local template patterns (B-LTP) is proposed for use in pedestrian detection in still images. B-LTP is a combination and modification of two features, histogram of templates (HOT) and center-symmetric local binary patterns (CS-LBP). For each pixel, B-LTP defines four templates, each of which contains the pixel itself and two neighboring center-symmetric pixels. For each template, it then calculates information from the relationships among these three pixels and from the two directional transitions across these pixels. Moreover, because the feature length of B-LTP is small, it consumes less memory and computational power. Experimental results on an INRIA dataset show that the speed and detection rate of our proposed B-LTP feature outperform those of other features such as histogram of orientated gradient (HOG), HOT, and covariance matrix (COV).
KW - Bidirectional local template patterns
KW - Feature extraction
KW - Pedestrian detection
KW - Support vector machine
UR - http://www.scopus.com/inward/record.url?scp=84878593078&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84878593078&partnerID=8YFLogxK
U2 - 10.1587/transfun.E96.A.1204
DO - 10.1587/transfun.E96.A.1204
M3 - Article
VL - E96-A
SP - 1204
EP - 1213
JO - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
JF - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
SN - 0916-8508
IS - 6
ER -