Vehicle Counting for Traffic Management System using YOLO and Correlation Filter

C. S. Asha, A. V. Narasimhadhan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Citations (Scopus)

Abstract

Vehicle counting is a process to estimate the road traffic density to assess the traffic conditions for intelligent transportation systems. With the extensive utilization of cameras in urban transport systems, the surveillance video has become a central data source. Also, real-time traffic management system has become popular recently due to the availability of handheld/mobile cameras and big-data analysis. In this work, we propose video-based vehicle counting method in a highway traffic video captured using handheld cameras. The processing of a video is achieved in three stages such as object detection by means of YOLO (You Only Look Once), tracking with correlation filter, and counting. YOLO attained remarkable outcome in the object detection area, and correlation filters achieved greater accuracy and competitive speed in tracking. Thus, we build multiple object tracking with correlation filters using the bounding boxes generated by the YOLO framework. Experimental analysis using real video sequences shows that the proposed method can detect, track and count the vehicles accurately.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538611128
DOIs
Publication statusPublished - 04-10-2018
Event2018 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2018 - Bangalore, India
Duration: 16-03-201817-03-2018

Publication series

Name2018 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2018

Conference

Conference2018 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2018
Country/TerritoryIndia
CityBangalore
Period16-03-1817-03-18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Computer Science Applications

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