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• W2964131937 abstract "We develop a system which generates summaries from seniors' indoor-activity videos captured by a social robot to help remote family members know their seniors' daily activities at home. Unlike the traditional video summarization datasets, indoor videos captured from a moving robot poses additional challenges, namely, (i) the video sequences are very long (ii) a significant number of video-frames contain no-subject or with subjects at ill-posed locations and scales (iii) most of the well-posed frames contain highly redundant information. To address this problem, we propose to hl{exploit} pose estimation hl{for detecting} people in frameshl{. This guides the robot} to follow the user and capture effective videos. We use person identification to distinguish a target senior from other people. We hl{also make use of} action recognition to analyze seniors' major activities at different moments, and develop a video summarization method to select diverse and representative keyframes as summaries." @default.
• W2964131937 created "2019-07-30" @default.
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• W2964131937 date "2019-01-30" @default.
• W2964131937 modified "2023-09-23" @default.
• W2964131937 title "A Mobile Robot Generating Video Summaries of Seniors' Indoor Activities" @default.
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• W2964131937 doi "https://doi.org/10.48550/arxiv.1901.10713" @default.
• W2964131937 hasPublicationYear "2019" @default.
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