Research Article
Tracking Moving Objects based on Background Subtraction using Kalman Filter
@INPROCEEDINGS{10.4108/eai.24-10-2018.2280505, author={M. Arief Soeleman and D. Raniasti and Karis W and Muljono Muljono and Muslih Muslih and RA. Pramunendar}, title={Tracking Moving Objects based on Background Subtraction using Kalman Filter}, proceedings={The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus}, publisher={EAI}, proceedings_a={ICCSET}, year={2018}, month={11}, keywords={detection; tracking background subtraction kalman filter}, doi={10.4108/eai.24-10-2018.2280505} }- M. Arief Soeleman
D. Raniasti
Karis W
Muljono Muljono
Muslih Muslih
RA. Pramunendar
Year: 2018
Tracking Moving Objects based on Background Subtraction using Kalman Filter
ICCSET
EAI
DOI: 10.4108/eai.24-10-2018.2280505
Abstract
Detection and tracking of human objects is one of the important studies in improving the ability of the surveillance system. The aim of this study is to measure and analyze the application of background subtraction method and the filter capability of detecting human objects to trace human movements through CCTV video-based. This research applies background subtraction method to detect moving object, assisted with median filter and morphology operation which aims to get good results on objects that have been detected. Kalman filter is applied to the process of tracking object movementt. Performance evaluation is performed by using means square error to determine the performance of Kalman filter method
Copyright © 2018–2024 EAI
