NDLI: Study on the method of analyzing traffic condition based on the bus surveillance video

Content Provider	IEEE Xplore Digital Library
Author	Zhang Fei Liu Guang-Ming
Copyright Year	2013
Description	Author affiliation: Nat. Supercomput. Center in Tianjin, Tianjin, China (Liu Guang-Ming) \|\| Inst. of Comput., Nat. Univ. of Defense Technol., Changsha, China (Zhang Fei)
Abstract	Traffic congestion has been the most intractable problem for most of countries' governments. It is crucial to solve the traffic congestion that traffic departments achieve the real-time information of traffic condition and release it to the public. The front cameras of buses record the traffic conditions of the main roads of a city. The real-time traffic conditions can be achieved through analyzing the surveillance video of this camera. Design the model to collecting images from the camera, and preprocess these images to make subsequent processing easier. Propose the idea of the average background, and the method of background subtraction is used to detect vehicles. Propose the calculation method of the pixel's weight of image under the perspective law and of the congestion index on the basis of the vehicle pixel statistics, and divide traffic congestion into levels by the index. In the end, experiment is designed to validate the methods.
Sponsorship	IEEE Romanian Sect.
Starting Page	103
Ending Page	108
File Size	357324
Page Count	6
File Format	PDF
ISBN	9781479914937
e-ISBN	9781479914944
DOI	10.1109/ICCP.2013.6646090
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-05
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	image processing bus surveillance video Roads vehicle pixel statistics average background Indexes Vehicles Global Positioning System the congestion index Image coding Surveillance Cameras background subtraction
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

A Vision-Based Road Surveillance System Using Improved Background Subtraction and Region Growing Approach

Airborne moving vehicle detection for video surveillance of urban traffic

Automatic isolation and classification of vehicles in a traffic video

Background subtraction for vehicle detection

Review on vehicle detection based on video for traffic surveillance

Fuzzy traffic congestion model based on speed and density of vehicle

Automated evaluation of urban traffic congestion using bus as a probe

Vehicle detection based on spatial-temporal connection background subtraction

A Video-Based Traffic Congestion Monitoring System Using Adaptive Background Subtraction

Study on the method of analyzing traffic condition based on the bus surveillance video

Similar Documents

A Vision-Based Road Surveillance System Using Improved Background Subtraction and Region Growing Approach

Airborne moving vehicle detection for video surveillance of urban traffic

Automatic isolation and classification of vehicles in a traffic video

Background subtraction for vehicle detection

Review on vehicle detection based on video for traffic surveillance

Fuzzy traffic congestion model based on speed and density of vehicle

Automated evaluation of urban traffic congestion using bus as a probe

Vehicle detection based on spatial-temporal connection background subtraction

A Video-Based Traffic Congestion Monitoring System Using Adaptive Background Subtraction

Study on the method of analyzing traffic condition based on the bus surveillance video