"Moving Object Tracking of Vehicle Detection": A Concise Review

  • Shukla A
  • Saini M
N/ACitations
Citations of this article
57Readers
Mendeley users who have this article in their library.

Abstract

Vehicle detection and tracking applications play an important role for military and civilian applications such as in highway traffic surveillance control management and traffic planning.This paper presents a review on the various techniques of On-Road Vehicle detection systems that are based on motion model. In this paper a literature Survey of previous and recent works is presented on vision- based vehicle detection using sensors. Detecting the objects in the video and tracking their motion to identify their characteristics has been emerging as a demanding research area in the domain of Image Processing and Computer Vision. The traffic image analysis comprises of three parts: (1) Traffic Analysis (2) Motion Vehicle Detection and Segmentation Approaches and (3) Vehicle Tracking Approaches. In this survey, we have classified these methods into various groups, and these groups are providing a detailed description of various representation methods and find out their positive and negative aspects.

Cite

CITATION STYLE

APA

Shukla, A. P., & Saini, M. (2015). “Moving Object Tracking of Vehicle Detection”: A Concise Review. International Journal of Signal Processing, Image Processing and Pattern Recognition, 8(3), 169–176. https://doi.org/10.14257/ijsip.2015.8.3.15

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free