文献详情
Recognizing Physical Activity from Ego-motion of A Camera
文献类型会议
作者Zhang, Hong[1];Li, Lu[2];Jia, Wenyan[3];Fernstrom, John D.[4];Sclabassi, Robert J.[5];Sun, Mingui[6]
机构
2010
通讯作者Sun, MG (reprint author), Univ Pittsburgh, Dept Neurosurg, Pittsburgh, PA 15260 USA.
会议名称2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
页码范围5569-5572
来源信息年:2010  页码范围:5569-5572  
摘要A new image based activity recognition method for a person wearing a video camera below the neck is presented in this paper. The wearable device is used to capture video data in front of the wearer. Although the wearer never appears in the video, his or her physical activity is analyzed and recognized using the recorded scene changes resulting from the motion of the wearer. Correspondence features are extracted from adjacent frames and inaccurate matches are removed based on a set of constraints imposed by the camera model. Motion histograms are defined and calculated within a frame and we define a new feature called accumulated motion distribution derived from motion statistics in each frame. A Support Vector Machine (SVM) classifier is trained with this feature and used to classify physical activities in different scenes. Our results show that different types of activities can be recognized in low resolution, field acquired real-world video.
收录情况EI(20110113552881)  CPCI-S(WOS:000287964005241)  
所属部门宇航学院
DOI号10.1109/IEMBS.2010.5626794
会议开始日期2010-01-01
被引频次55
语言外文
人气指数149
浏览次数149
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