Biologically Visual Perceptual Model and Discriminative Model for Road Markings Detection and Recognition

doi:10.1155/2018/6062081

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
ISSN	1024-123X
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
DOI	10.1155/2018/6062081
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
推荐引用方式 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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Biologically Visual （4675KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载