文章基本信息

标题：Kinect Sensor based Object Feature Estimation in Depth Images
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作者：Kajal Sharma
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：12
页码：237-246
DOI：10.14257/ijsip.2015.8.12.23
出版社：SERSC
摘要：Kinect is a motion-sensing device which was originally developed for the Xbox 360 gaming console. This recently developed low-cost sensor detects the body position, motion, and voice; it consists of a microphone, a RGB camera, and a depth sensor. Kinect is PC-centric sensor which allows developers to develop real-life applications with human gestures and body motions. This paper presents an approach to interpret the indoor room objects in order to match the objects features in depth images captured from an RGBD video database. The dataset consists of color and depth image pairs gathered in real-time indoor home environment. The objects features are matched in depth image pairs with the feature association method to detect stable features at different time instances.
关键词：kinect sensor; image acquisition; video processing; object tracking