NDLI: Real time moving vehicle detection and reconstruction for improving classification

Content Provider	IEEE Xplore Digital Library
Author	Tao Wang Zhigang Zhu
Copyright Year	2012
Description	Author affiliation: Department of Computer Science, The City College of New York, 10031, USA (Zhigang Zhu) \|\| Department of Computer Science, The Graduate Center of CUNY, New York, 10016, USA (Tao Wang)
Abstract	Vehicle images captured by traffic and surveillance video cameras in various conditions usually exhibit several unexpected variations that worsen vehicle classification. These factors include occlusions, motion blur, and changes in perspective views. Complete and normalized views of vehicle images, if being able to reconstructed from the unsatisfactory data, will facilitate more accurate data labeling, feature extraction and multi-class vehicle classification. We propose a multimodal temporal panorama (MTP) approach to accurately extracting and reconstructing moving vehicles in real-time using a remote multimodal (audio/video) monitoring system. The MTP representation consists of: 1) a panoramic view image (PVI) for detecting vehicles using the concept of 1D vertical detection line; 2) an epipolar plane image (EPI), generated from 1D epipolar lines along the vehicles' moving paths, to characterize their speeds and directions; and 3) corresponding audio signals collected at the vehicle detection point to reduce false target detection in the PVI. Using the MTP approach, reconstructed vehicles all have the same side views, with less or no occlusions and motion blur. Using SVM classifiers for multiclass problems indicates that the classification accuracy using reconstruction results improves about 10% over that using corresponding vehicle images from original video for a dataset of about 140 vehicles. Our ultimate goal is to use the audio-visual vehicle data for multimodal vehicle classification and anomaly detection.
Starting Page	497
Ending Page	502
File Size	400415
Page Count	6
File Format	PDF
ISBN	9781467302333
ISSN	15505790
e-ISBN	9781467302340
e-ISBN	9781467302326
DOI	10.1109/WACV.2012.6163039
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-01-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Image reconstruction Visualization Cameras Acoustics Feature extraction Accuracy
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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