Using visual lifelogs to automatically characterize everyday activities
نویسندگان
چکیده
منابع مشابه
Characterizing everyday activities from visual lifelogs based on enhancing concept representation
The proliferation of wearable visual recording devices such as SenseCam, Google Glass, etc. is creating opportunities for automatic analysis and usage of digitally-recorded everyday behaviour, known as visual lifelogs. Such information can be recorded in order to identify human activities and build applications that support assistive living and enhance the human experience. Although the automat...
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The Microsoft SenseCam is a small lightweight wearable camera used to passively capture photos and other sensor readings from a user's day-today activities. It can capture up to 3,000 images per day, equating to almost 1 million images per year. It is used to aid memory by creating a personal multimedia lifelog, or visual recording of the wearer’s life. However the sheer volume of image data ca...
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ژورنال
عنوان ژورنال: Information Sciences
سال: 2013
ISSN: 0020-0255
DOI: 10.1016/j.ins.2012.12.028