JOURNAL ARTICLE

Moving object tracking system based on camshift and Kalman filter

Abstract

To accomplish real-time tracking of moving objects requirements, and overcome the defect of occlusion in the process of tracking moving object, this paper presents a set of real-time tracking system. The tracking system uses a combination of camshift and kalman filter algorithm. When the moving object is a large area blocked, the velocity of moving object is applied linear prediction to kalman filter tracking. When the camera moves, we can quickly find the target in this tracking system. The experimental results show that : this system designed for tracking moving targets has good robustness.

Keywords:
Kalman filter Computer vision Artificial intelligence Robustness (evolution) Tracking system Video tracking Computer science Tracking (education) Moving horizon estimation Object (grammar) Extended Kalman filter

Metrics

79
Cited By
3.84
FWCI (Field Weighted Citation Impact)
9
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Measurement and Detection Methods
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Object Tracking System Using Camshift, Meanshift And Kalman Filter

Afef SalhiAmeni Yengui Jammaoussi

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2012 Vol: 6 (4)Pages: 421-426
JOURNAL ARTICLE

Moving Target Tracking based on CamShift Approach and Kalman Filter

Shao-Fan LienKuo-Hsien HsiaJuhng-Perng Su

Journal:   Applied Mathematics & Information Sciences Year: 2014 Vol: 9 (1)Pages: 395-401
JOURNAL ARTICLE

Moving Target Tracking based on CamShift Approach and Kalman Filter

Shao-Fan LienKuo-Hsien HsiaJuhng-Perng Su

Journal:   Applied Mathematics & Information Sciences Year: 2014 Vol: 9 (1)Pages: 395-401
JOURNAL ARTICLE

Object-Tracking System Using Combination of CAMshift and Kalman filter Algorithm

Dae-Young KimJae-Wan ParkChil-Woo Lee

Journal:   Journal of Korea Multimedia Society Year: 2013 Vol: 16 (5)Pages: 619-628
© 2026 ScienceGate Book Chapters — All rights reserved.