NDLI: Estimating traffic condition using just a single image

Content Provider	IEEE Xplore Digital Library
Author	Yao Bin Then Yong Haur Tay Wing Teng Ho
Copyright Year	2013
Description	Author affiliation: Centre for Comput. & Intell. Syst., Univ. Tunku Abdul Rahman, Kuala Lumpur, Malaysia (Yao Bin Then; Yong Haur Tay) \|\| Recogine Technol., Putra Height, Malaysia (Wing Teng Ho)
Abstract	Accurate and fast information acquisition on traffic condition is vital to the urban drivers and city management. Today, most of the computer vision-based techniques in traffic condition monitoring perform on video stream, in which requires high networking bandwidth to transfer the video stream to the processing unit. In this paper, we present a simple yet effective adaptive technique that is able to estimate the traffic condition by just using a single image. The system is based on FAST corner detection and SURF keypoint descriptor, and multilayer perceptron (MLP). A video input is needed only during the training phase; however, no manual annotation is needed to provide teaching signals to the multilayer perceptron. Once the MLP is trained, the system is able to estimate the traffic condition by using one single image. We evaluate the system on a few real-world datasets under different illumination and traffic conditions, and obtain very positive results.
Starting Page	3331
Ending Page	3335
File Size	582188
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738686
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	traffic estimation SURF keypoint detection multilayer perceptron FAST
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

Fast learning in artificial neural systems: multilayer perceptron training using optimal estimation

Fuzzified Multilayer Perceptron based Fast Voltage Estimation

Detection and classification of induction motor faults using Motor Current Signature Analysis and Multilayer Perceptron

Inverse halftoning using a multilayer perceptron neural network

Fast and scalable keypoint recognition and image retrieval using binary codes.

Fast learning for big data applications using parameterized multilayer perceptron

A fast learning technique for the multilayer perceptron

Traffic sign detection and identification using SURF algorithm and GPGPU

Using multilayer perceptron for voicing strength estimation in HMM-based speech synthesis

Estimating traffic condition using just a single image

Similar Documents

Fast learning in artificial neural systems: multilayer perceptron training using optimal estimation

Fuzzified Multilayer Perceptron based Fast Voltage Estimation

Detection and classification of induction motor faults using Motor Current Signature Analysis and Multilayer Perceptron

Inverse halftoning using a multilayer perceptron neural network

Fast and scalable keypoint recognition and image retrieval using binary codes.

Fast learning for big data applications using parameterized multilayer perceptron

A fast learning technique for the multilayer perceptron

Traffic sign detection and identification using SURF algorithm and GPGPU

Using multilayer perceptron for voicing strength estimation in HMM-based speech synthesis

Estimating traffic condition using just a single image