Open AccessLatest trend of variation of EDGE detection and object detection with pixel level variation and their comparison algorithms
Author(s) -
Bhubneshwar Sharma,
Parul Mahajan
Publication year - 2015
Publication title -
international journal of advances in scientific research
Language(s) - English
Resource type - Journals
ISSN - 2395-3616
DOI - 10.7439/ijasr.v1i9.2461
Subject(s) - intersection (aeronautics) , enhanced data rates for gsm evolution , variation (astronomy) , pixel , object (grammar) , computer science , edge detection , scale (ratio) , object detection , computer vision , algorithm , artificial intelligence , image (mathematics) , real time computing , image processing , pattern recognition (psychology) , engineering , geography , transport engineering , cartography , physics , astrophysics
The frequent traffic jams at major junctions call for an efficient traffic management system in place. The resulting wastage of time and increase in pollution levels can be eliminated on a city-wide scale by these systems. The image sequences from a camera are analyzed using various edge detection and object counting methods to obtain the most efficient technique. Subsequently, the number of vehicles at the intersection is evaluated and traffic is efficiently managed.