Adaptive Differential Evolution Algorithm for Real Time Object Tracking
- Authors
- Nyirarugira, Clementine; Kim, 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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Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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