Logo image
Back
A Novel Moving Object Tracking Method Using ICA-R
Conference proceeding   Peer reviewed

A Novel Moving Object Tracking Method Using ICA-R

Xiaohong Ma, Lixin Wang, Yi Feng and Hualou Liang
ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 2, PROCEEDINGS, v 5552(2), pp 859-864
01 Jan 2009
DOI: https://doi.org/10.1007/978-3-642-01510-6_97

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Theory & Methods Science & Technology Technology
In this paper, the independent component analysis with reference (ICA-R) algorithm is proposed to track moving object. Taking the invariant moment of the detected object image as the reference signal, the moving object which shares the same characteristics as the reference can be extracted from the video frames through the ICAR-R algorithm. Our algorithm can easily be extended to tackle the non-totally occlusion problem: the detected object image is first divided into either two or four parts and the unoccluded sub-parts can then be tracked through the ICA-R algorithm. As a result, the tracking of the whole moving object can be realized. The experimental results demonstrate the effectiveness of the proposed method.

Metrics

11 Record Views

Details

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Theory & Methods
Logo image