手语视频的手部检测

Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2014-05-27 DOI:10.1145/2674396.2674442

Zhong Zhang, C. Conly, V. Athitsos

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引用次数: 7

摘要

对于手势和手语识别来说，手的形状和动作是区分一个手势和另一个手势的主要信息来源。因此，建立一个高效可靠的手部检测器是识别手势和手势的重要一步。在本文中，我们在三个手语数据集上评估了三种手部检测方法:皮肤和运动检测器[1]，使用多提议的手部检测[12]和链模型[9]。

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Hand detection on sign language videos

For gesture and sign language recognition, hand shape and hand motion are the primary sources of information that differentiate one sign from another. Building an efficient and reliable hand detector is therefore an important step in recognizing signs and gestures. In this paper we evaluate three hand detection methods on three sign language data sets: a skin and motion detector [1], hand detection using multiple proposals [12], and chains model [9].

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Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

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