Pedestrian tracking using single camera with new extended Kalman filter
International Journal of Intelligent Computing and Cybernetics
ISSN: 1756-378X
Article publication date: 22 August 2008
Abstract
Purpose
The purpose of this paper is to present research in the area of the signal processing and application into pedestrian tracking in the video scene.
Design/methodology/approach
The paper describes the design of a new extended Kalman filter (EKF) in the high‐dimensional space (HDS) and studies of mean square error and variance analysis of error. A design algorithm is implemented in MATLAB software and tested. The data set includes many hours of captured films.
Findings
This paper includes a new derivation of the EKF and its implementation into the video scene.
Practical implications
The proposed algorithm can be used to track each video application.
Originality/value
The Kalman filter in the HDS is presented for the first time. Also, the application of the proposed method is applied in pedestrian tracking and counting.
Keywords
Citation
Sadoghi Yazdi, H. and Ebrahim Hosseini, S. (2008), "Pedestrian tracking using single camera with new extended Kalman filter", International Journal of Intelligent Computing and Cybernetics, Vol. 1 No. 3, pp. 379-397. https://doi.org/10.1108/17563780810893464
Publisher
:Emerald Group Publishing Limited
Copyright © 2008, Emerald Group Publishing Limited