alexa Abstract | A Proficient Method for Traffic Monitoring System
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access

Abstract

Video processing is a research topic in the area of computer vision. Traffic monitoring is a key issue to be addressed in day-to-day’s life. To address this issue, this system is going to process the video obtained in terms of frame sequence. The system proposed is going to calculate the signal time dynamically by taking into account the number of vehicles present in the current lane. The number of vehicles is counted by segmenting the input traffic data set into frames and comparing each incoming new frame with that of the Dynamic-Background. Dynamic-Background is constantly updated from Dynamic Environment Register (DER) where changes in the background are constantly updated. A counter and a weight value are assigned to each pixel of the Dynamic-Background. For a pixel position in Dynamic-Background the intensity value with the largest count in all frames is assigned. From the Dynamic- Background, an absolute difference of incoming frames of the dataset is taken to obtain the Object of Interest (OOI). From the object obtained, features are extracted using a holistic classifier and those features are compared with that of the existing object’s features to identify the presence of partial occlusion. Depending upon the score for occlusion and the score for objects feature found, the presence of an object can be found. In this paper performance evaluation is done based on the number of objects found in a particular frame. This OOI can be extended to other object counting applications like pedestrian detection, etc.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): A. R. Revathi, Dhananjay Kumar

Share This Page

Additional Info

Loading
Loading Please wait..
 
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords