NDLI: Robust vehicle tracking algorithm for nighttime videos captured by fixed cameras in highly reflective environments

Content Provider	IET Digital Library
Author	Hajimolahoseini, Habib Amirfattahi, Rassoul Zadeh, Hamid Soltanian
Abstract	In this study, the problem of vehicle detection, tracking and speed estimation in the nighttime traffic surveillance videos captured in highly reflective environments is considered. In this case, a robust algorithm is proposed which uses vehicle headlights as their prominent features. The proposed algorithm consists of three main stages. In the first stage, bright objects are segmented by thresholding the grey-scale image. An effective algorithm is then applied to distinguish between vehicles lights and lights reflected on the road and on the vehicles bodies. In the second stage, the segmented bright objects are tracked using their spatial characteristics and their shapes and then, their speeds are estimated. To correct the camera perspective effect and reduce computational complexity, a projective transformation is used. In the third stage, the lights of each vehicle are grouped and paired using their positions and speeds. Motorbikes are also identified among the unpaired lights in this stage. Finally, the proposed real-time system is implemented in C and applied to videos captured by traffic surveillance cameras in some highways in Iran. Experimental results reveal that accuracy of the algorithm proposed for vehicle detection is more than 98%.
Starting Page	535
Ending Page	544
Page Count	10
ISSN	17519632
Volume Number	8
e-ISSN	17519640
Issue Number	Issue 6, Dec (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/8/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2013.0267
Journal	IET Computer Vision
Publisher Date	2014-03-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bright Object Segmentation Camera Camera Perspective Effect Computational Complexity Computational Complexity Reduction Fixed Cameras Grey-scale Image Thresholding Highly Reflective Environments Image Recognition Image Segmentation Iran Nighttime Traffic Surveillance Videos Object Detection Object Tracking Projective Transformation Road Vehicle Robust Vehicle Tracking Algorithm Spatial Characteristic Speed Estimation Traffic Engineering Computing Traffic Surveillance Cameras Vehicle Detection Vehicle Headlights Video Signal Processing Video Surveillance
Content Type	Text
Resource Type	Article
Subject	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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