Pedestrian Height Estimation and 3D Reconstruction Using Pixel-resolution Mapping Method Without Special Patterns

doi:10.1007/s11633-019-1170-2

CASIA OpenIR > 学术期刊 > Machine Intelligence Research

	Pedestrian Height Estimation and 3D Reconstruction Using Pixel-resolution Mapping Method Without Special Patterns
	Bing-Xing Wu 1; Suat Utku Ay 2; Ahmed Abdel-Rahim 2
发表期刊	International Journal of Automation and Computing
ISSN	1476-8186
	2019
卷号	16 期号:4 页码:449-461
摘要	Extracting the three-dimensional (3D) information including location and height of a pedestrian is important for vision-based intelligent traffic monitoring systems. This paper tackles the relationship between pixels′ actual size and pixels′ spatial resolution through a new method named pixel-resolution mapping (P-RM). The proposed P-RM method derives the equations for pixels′ spatial resolutions (XY-direction) and object′s height (Z-direction) in the real world, while introducing new tilt angle and mounting height calibration methods that do not require special calibration patterns placed in the real world. Both controlled laboratory and actual world experiments were performed and reported. The tests on 3D mensuration using proposed P-RM method showed overall better than 98.7% accuracy in laboratory environments and better than 96% accuracy in real world pedestrian height estimations. The 3D reconstructed images for measured points were also determined with the proposed P-RM method which shows that the proposed method provides a general algorithm for 3D information extraction.
关键词	Traffic monitoring application spatial resolution pixel-resolution mapping (P-RM) method 3D information pedestrian height estimation.
DOI	10.1007/s11633-019-1170-2
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42350
专题	学术期刊_Machine Intelligence Research
作者单位	1.Department of Electrical and Computer Engineering, University of Idaho, Moscow 83844-1023, USA 2.Department of Civil Engineering, University of Idaho, Moscow 83844-1022, USA
推荐引用方式 GB/T 7714	Bing-Xing Wu,Suat Utku Ay,Ahmed Abdel-Rahim. Pedestrian Height Estimation and 3D Reconstruction Using Pixel-resolution Mapping Method Without Special Patterns[J]. International Journal of Automation and Computing,2019,16(4):449-461.
APA	Bing-Xing Wu,Suat Utku Ay,&Ahmed Abdel-Rahim.(2019).Pedestrian Height Estimation and 3D Reconstruction Using Pixel-resolution Mapping Method Without Special Patterns.International Journal of Automation and Computing,16(4),449-461.
MLA	Bing-Xing Wu,et al."Pedestrian Height Estimation and 3D Reconstruction Using Pixel-resolution Mapping Method Without Special Patterns".International Journal of Automation and Computing 16.4(2019):449-461.

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