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Cited 5 time in webofscience Cited 8 time in scopus
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Adaptive Differential Evolution Algorithm for Real Time Object Tracking

Authors
Nyirarugira, ClementineKim, TaeYong
Issue Date
Nov-2013
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
real time object tracking; gesture recognition; differential evolution algorithm; convergence; motion blurs
Citation
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.59, no.4, pp 833 - 838
Pages
6
Journal Title
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
Volume
59
Number
4
Start Page
833
End Page
838
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/14201
DOI
10.1109/TCE.2013.6689696
ISSN
0098-3063
1558-4127
Abstract
The core element of a dynamic gesture recognition system is to localize the gesturing object, then some classification methods are used to recognize gestures. In this work, focus is made on gesturing object localization. Adaptive differential evolution algorithm for real-time object tracking is proposed. The algorithm tracks the hand position in any directions at variable speed of gesturing, providing to the interacting users with the flexibility of choosing gesturing speed. The integration of motion blurs information in the tracking process improves the proposed tracker's efficiency and accuracy. Experiment results show good performance of the proposed tracker in real time(1).
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첨단영상대학원 (영상학과)
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