Latest trend of variation of EDGE detection and object detection with pixel level variation and their comparison algorithms

Authors

  • Bhubneshwar Sharma Department of Electronics and Communication Engineering, S.S.C.E.T, under Punjab Technical university Author
  • Parul Mahajan Department of Electronics and Communication Engineering, S.S.C.E.T, under Punjab Technical university Author

DOI:

https://doi.org/10.7439/ijasr.v1i9.2461

Abstract

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.

Downloads

Download data is not yet available.

Downloads

Published

22-10-2015

Issue

Section

Review Articles

How to Cite

1.
Sharma B, Mahajan P. Latest trend of variation of EDGE detection and object detection with pixel level variation and their comparison algorithms. Int J of Adv in Sci Res [Internet]. 2015 Oct. 22 [cited 2026 Feb. 15];1(9):346-8. Available from: https://ssjournals.co.in/index.php/ijasr/article/view/2461