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The goals of this project include developing a content-level privacy protection wireless video sensor network to collect continuous video information about LTC resident's activities, develop an accurate and robust activity modeling framework to analyze the video data for automated functional assessment and abnormal activity detection, and based on the results from automated activity analysis, develop a video summarization scheme using numerical and linguistic descriptions for fast and efficient functional assessment and problem diagnosis.
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