Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
Vol 3, No 2, May-2018

Comparative Analysis of Tracking Objects Using Optical Flow and Background Estimation on Silent Camera

Supriyatin, Wahyu (Unknown)
Ariestya, Winda Widya (Unknown)
Astuti, Ida (Unknown)



Article Info

Publish Date
16 Apr 2018

Abstract

Tracking and object is one of the utilizations on the field of the computer vision application. Object tracking utilization as a computer vision in this study is used to identify objects which exist within a frame and calculate the number of objects passing within a frame. The utilization of computer vision in various fields of application can be used to solve the existing problems. The method used in object tracking is by comparison between optical flow estimation method with background method. The test is conducted by using a still camera for both methods by making changes to the parameter values used as a reference. The results of the tests, conducted on the three video objects by comparing the two methods show a Total Recorded Time better than those of the background estimation method, being smaller than 100 seconds. Testing both methods successfully identifies the object tracking and calculates the number of passing cars.

Copyrights © 2018






Journal Info

Abbrev

kinetik

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control was published by Universitas Muhammadiyah Malang. journal is open access journal in the field of Informatics and Electrical Engineering. This journal is available for researchers who want to improve ...