首页> 外文会议>1st ACM SIGMM international workshop on media studies and implementations that help improve access to disabled users 2009 >Person Localization using a Wearable Camera towards Enhancing Social Interactions for Individuals with Visual Impairment
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Person Localization using a Wearable Camera towards Enhancing Social Interactions for Individuals with Visual Impairment

机译:使用可穿戴式摄像头的人的本地化,以增强视障人士的社交互动

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Individuals with visual impairments are at a loss when it comes to everyday social interactions as majority (65%) of these interactions happen through visual non-verbal media. Recently, efforts have been made towards development of an assistive technology called the Social Interaction Assistant [14] which enables access to such useful cues so as to compensate for the lack of vision and other visual impairments. There have been studies which enumerate the important needs of such individuals when they interact in social situations. Along with feedback about their own social behavior, these studies indicate that individuals with visual disabilities are interested in a number of cues related to the people in their surroundings. In this paper, we discuss the importance of person localization while building a human-centric assistive technology which addresses the essential needs of the visually impaired users. Next, we describe the challenges that arise when a wearable camera setup is used as an input source in order to perform person localization. Finally, we present a computer vision based algorithm adapted to handle the issues that are inherent when such a wearable camera setup is used and demonstrate its performance on a number of example sequences.
机译:有视觉障碍的人在日常社交互动中茫然无措,因为大多数互动(65%)通过视觉非语言媒体发生。最近,人们在努力开发一种名为“社交互动助手”的辅助技术[14],该技术可以获取有用的提示,从而弥补视力不足和其他视觉障碍。已经进行了一些研究,列举了这些人在社交场合中进行互动时的重要需求。这些研究连同对自己的社会行为的反馈表明,视障人士对与周围人有关的许多线索感兴趣。在本文中,我们将讨论在构建以人为中心的辅助技术时,人的本地化的重要性,该技术可以解决视障用户的基本需求。接下来,我们描述将可穿戴式摄像机设置用作输入源以执行人员定位时出现的挑战。最后,我们提出了一种基于计算机视觉的算法,该算法适用于处理使用此类可穿戴式相机设置时固有的问题,并在许多示例序列上演示其性能。

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