CIOMP OpenIR
Biologically Visual Perceptual Model and Discriminative Model for Road Markings Detection and Recognition
Jia, H. Q.; Wei, Z. H.; He, X.; Lv, Y.; He, D. L.; Li, M. Y.
2018
发表期刊Mathematical Problems in Engineering
ISSN1024-123X
卷号0页码:11
摘要The detection and recognition of arrow markings is a basic task of autonomous driving. To achieve all-day detection and recognition of arrow markings in complex environment, we propose a hybrid model by exploiting the advantages of biologically visual perceptual model and discriminative model. Firstly, the arrow markings are extracted from the complex background in the region of interest (ROI) by the biologically visual perceptual model using the frequency-tuned (FT) algorithm. Then candidates for road markings are detected as maximally stable extremal regions (MSER). In recognition stage, biologically visual perceptual model calculates the sparse solution of arrow markings using sparse learning theory. Finally, discriminative model uses the Adaptive Boosting (AdaBoost) classifier trained by sparse solution to classify arrow markings. Experimental results show that the hybrid model achieves detection and recognition of arrow markings in complex road conditions with the precision, recall, and F-measure being 0.966, 0.88, and 0.92, respectively. The hybrid model is robust and has some advantages compared with other state-of-the-art methods. The hybrid model proposed in this paper has important theoretical significance and practical value for all-day detection and recognition in complex environment.
关键词salient region detection sparse representation scene classification robust Engineering Mathematics
DOI10.1155/2018/6062081
收录类别SCI ; EI
引用统计
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/60917
专题中国科学院长春光学精密机械与物理研究所
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GB/T 7714
Jia, H. Q.,Wei, Z. H.,He, X.,et al. Biologically Visual Perceptual Model and Discriminative Model for Road Markings Detection and Recognition[J]. Mathematical Problems in Engineering,2018,0:11.
APA Jia, H. Q.,Wei, Z. H.,He, X.,Lv, Y.,He, D. L.,&Li, M. Y..(2018).Biologically Visual Perceptual Model and Discriminative Model for Road Markings Detection and Recognition.Mathematical Problems in Engineering,0,11.
MLA Jia, H. Q.,et al."Biologically Visual Perceptual Model and Discriminative Model for Road Markings Detection and Recognition".Mathematical Problems in Engineering 0(2018):11.
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