NDLI: Coarse-to-fine 3D road model registration for traffic video augmentation

Content Provider	IET Digital Library
Author	Cui, Zhichao Li, Yaochen Zhang, Chi Liu, Yuehu Ren, Fuji
Abstract	This study addresses the problem of non-perspective pose estimation from line correspondences in the traffic scenarios. A coarse-to-fine 3D road registration method is proposed for this problem in two stages. Firstly, the iterative closest point algorithm is exploited to estimate the pose coarsely. An objective function is then established to incorporate the feature correspondences for refining the coarse pose. Besides, the framework including road registration is employed for traffic video augmentation. The framework begins with the inputs of traffic videos, road information from Geographic Information Systems and 3D models of traffic elements (e.g. vehicles, pedestrians). Subsequently, 3D road model generation and point-to-line correspondence establishment are achieved in the preprossessing stage. After road and viewpoint registration, the 3D graphic engine is employed to simulate the traffic scene with the road, viewpoints and traffic elements. The augmented videos are generated by fusing the original frames and newly projected traffic elements. The authors demonstrate the superiority of the proposed registration method by the comparison to state-of-the-arts in both quantitative and qualitative experiments. In addition, the frames of the augmented videos validate the proposed method in the application.
Starting Page	2690
Ending Page	2700
Page Count	11
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 12, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.1036
Journal	IET Image Processing
Publisher Date	2020-05-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3D Graphic Engine Augmented Videos Coarse-to-fine 3D Road Model Registration Coarse-to-fine 3D Road Registration Method Computer Vision And Image Processing Technique Feature Correspondences Framework Including Road Registration Geographic Information System Graphics Technique Image Recognition Image Registration Iterative Closest Point Algorithm Iterative Method Line Correspondences Nonperspective Optical, Image And Video Signal Processing Point-to-line Correspondence Establishment Pose Estimation Road Information Solid Modelling Traffic Element Traffic Scenario Traffic Scene Traffic Video Augmentation Traffic Videos ViewPoint Viewpoint Registration
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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