Adaptive Differential Evolution Algorithm for Real Time Object Tracking

被引：11

作者：

Nyirarugira, Clementine ^{[1
]}

Kim, TaeYong ^{[1
]}

机构：

[1] Chung Ang Univ, Grad Sch Adv Imaging Sci, Seoul 156756, South Korea

来源：

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS | 2013年 / 59卷 / 04期

基金：

新加坡国家研究基金会;

关键词：

real time object tracking; gesture recognition; differential evolution algorithm; convergence; motion blurs;

D O I：

10.1109/TCE.2013.6689696

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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).

引用

页码：833 / 838

页数：6

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