Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

A histogram-based detection of corrupted images from traffic surveillance cameras

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
3 Author(s)
Charoensripongsa, T. ; Nat. Electron. & Comput. Technol. Center (NECTEC), Pathumthani, Thailand ; Pattara-atikom, W. ; Sinthupinyo, S.

Traffic surveillance has increasingly become an important research topic in Intelligent Transportation Systems (ITS). Recently, a number of traffic monitoring systems using Closed Circuit Televisions (CCTVs) have been implemented in many urban areas all over the world in order to monitor, record image sequences and report traffic information. Images are captured from cameras and are sent to other systems for processing or displaying at the traffic management center or websites. However, data transmission problems and/or camera malfunction can corrupt the quality of video images. In this paper, we propose a simple but efficient method to detect corrupted images received from traffic surveillance cameras using histogram analysis and neural network classifiers. The experimental results show that our approach can accurately differentiate between normal and corrupted images.

Published in:

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2011 8th International Conference on

Date of Conference:

17-19 May 2011