An Image Tracking Algorithm Based on Object Centre Location and Image NMI Feature

In order to improve the precision of tracking in real-time, the bandwidth of tracking should be changed according to the change of object's scale. Based on mean shift algorithm and the target center in every frame located by probability method, this thesis puts forward a self-adaptive algorithm...

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Bibliographic Details
Published in:The Sixth International Conference on Fuzzy Systems and Knowledge Discovery : proceedings, Tianjin, China, 14-16 August 2009 Vol. 5; pp. 359 - 363
Main Authors: Chen Aibin, Cai Zixing, Dong Deyi
Format: Conference Proceeding
Language:English
Published: IEEE 01.08.2009
Subjects:
Bandwidth
Computer science
Convergence
Educational institutions
Fuzzy systems
Information science
Iterative algorithms
Kernel
Knowledge engineering
Mean shift
NMI feature
Object Center
object tracking
Target tracking
ISBN:9780769537351, 0769537359
Online Access:Get full text
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Summary:In order to improve the precision of tracking in real-time, the bandwidth of tracking should be changed according to the change of object's scale. Based on mean shift algorithm and the target center in every frame located by probability method, this thesis puts forward a self-adaptive algorithm for updating views. Then by combining the normalized moment of inertia (NMI) feature, the center of tracking object is located in real-time. The experiments show that this method can choose the proper size of tracking bandwidth when the object size changing and have strong anti-jamming.
ISBN:9780769537351
0769537359
DOI:10.1109/FSKD.2009.468