Left/right hand segmentation in egocentric videos
نویسندگان
چکیده
منابع مشابه
Left/right hand segmentation in egocentric videos
Wearable cameras allow people to record their daily activities from a user-centered (First Person Vision) perspective. Due to their favorable location, wearable cameras frequently capture the hands of the user, and may thus represent a promising user-machine interaction tool for different applications. Existent First Person Vision methods handle hand segmentation as a background-foreground prob...
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Accurately identifying hands in images is a key subtask for human activity understanding with wearable firstperson point-of-view cameras. Traditional hand segmentation approaches rely on a large corpus of manually labeled data to generate robust hand detectors. However, these approaches still face challenges as the appearance of the hand varies greatly across users, tasks, environments or illum...
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With the increasing availability of wearable cameras, research on first-person view videos (egocentric videos) has received much attention recently. While some effort has been devoted to collecting various egocentric video datasets, there has not been a focused effort in assembling one that could capture the diversity and complexity of activities related to life-logging, which is expected to be...
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The possibility of sharing one’s point of view makes use of wearable cameras compelling. These videos are often long, boring and coupled with extreme shake, as the camera is worn on a moving person. Fast forwarding (i.e. frame sampling) is a natural choice for quick video browsing. However, this accentuates the shake caused by natural head motion in an egocentric video, making the fast forwarde...
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ژورنال
عنوان ژورنال: Computer Vision and Image Understanding
سال: 2017
ISSN: 1077-3142
DOI: 10.1016/j.cviu.2016.09.005