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Locally Important Pattern Clustering Code for Pedestrian Classification

Title
Locally Important Pattern Clustering Code for Pedestrian Classification
Authors
Lim, YC[Lim, Young Chul]Kang, M[Kang, Minsung]
DGIST Authors
Lim, YC[Lim, Young Chul]; Kang, M[Kang, Minsung]
Issue Date
2015-08
Citation
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E98A(8), 1875-1878
Type
Article
Article Type
Article
Keywords
Binary PatternsClustering CodeCodes (Symbols)Coding SchemeFeature ExtractionFeature VectorsLocal Binary PatternLocal Binary PatternsLocal PatternsLocal Ternary PatternLocal Ternary PatternsPattern ClusteringPedestrian Classification
ISSN
1745-1337
Abstract
In this letter, a local pattern coding scheme is proposed to reduce the dimensionality of feature vectors in the local ternary pattern. The proposed method encodes the ternary patterns into a binary pattern by clustering similar ternary patterns. The experimental results show that the proposed method outperforms the previous methods. Copyright © 2015 The Institute of Electronics, Information and Communication Engineers.
URI
http://hdl.handle.net/20.500.11750/2868
DOI
10.1587/transfun.E98.A.1875
Publisher
Institute of Electronics, Information and Communication Engineers
Files:
There are no files associated with this item.
Collection:
Convergence Research Center for Future Automotive Technology1. Journal Articles


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