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Complexity
Volume 2018, Article ID 8730281, 11 pages
https://doi.org/10.1155/2018/8730281
Research Article

Large-Screen Interactive Imaging System with Switching Federated Filter Method Based on 3D Sensor

Lei Yu1,2,3 and Junyi Hou1

1School of Mechanical and Electric Engineering, Soochow University, Suzhou, China
2Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education (Nanjing University of Science and Technology), Nanjing, China
3Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control (Anhui University), Hefei, China

Correspondence should be addressed to Lei Yu; nc.ude.adus@iel_uy

Received 8 August 2018; Revised 5 November 2018; Accepted 22 November 2018; Published 4 December 2018

Academic Editor: Carlos F. Aguilar-Ibáñez

Copyright © 2018 Lei Yu and Junyi Hou. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Large-screen human-computer interaction technology is reflected in all aspects of daily life. The dynamic gesture tracking algorithm commonly used in recent large-screen interactive technologies demonstrates compelling results but suffers from accuracy and real-time problems. This paper systematically addresses these issues by a switching federated filter method that combines particle filtering and Mean Shifting algorithms based on a 3D sensor. Compared with several algorithms, the results show that the one-hand and two-hand large-screen gesture tracking based on the switched federated filtering algorithm work well, and there is no tracking failure and loss of target. Therefore, the switching federated tracking positioning algorithm can be well applied to the design of human-computer interaction system and provide new ideas for future human-computer interaction.