基于UKF的人脸跟踪改进头部手势识别

2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19) Pub Date : 2019-11-01 DOI:10.1109/ICETET-SIP-1946815.2019.9092057

Rushikesh T. Bankar, S. Salankar

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引用次数: 3

摘要

本文描述了头部手势识别的性能改进。现存的传统头部手势识别系统没有处理这些环境条件。为了克服这些困难，UKF与升级后的凸轮轴工艺相结合。仿真结果表明，该系统既能解决室内环境问题，又能解决室外环境问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Improvement of Head Gesture Recognition Using Camshift Based Face Tracking With UKF

This paper describes performance improvement in recognition of the head gestures. The surviving traditional head gesture recognition systems does not deals with these environmental conditions. To overcome these difficulties, the UKF is combined with the upgraded camshift process. Simulation results concludes proposed system deals with problems in inside as well as out-of-doors eco-friendly surroundings.

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2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19)

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