Robust multi-dimensional motion features for first-person vision activity recognition
نویسندگان
چکیده
منابع مشابه
Robust multi-dimensional motion features for first-person vision activity recognition
We propose robust multi-dimensional motion features for human activity recognition from first-person videos. The proposed features encode information about motion magnitude, direction and variation, and combine them with virtual inertial data generated from the video itself. The use of grid flow representation, per-frame normalization and temporal feature accumulation enhances the robustness of...
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ژورنال
عنوان ژورنال: Computer Vision and Image Understanding
سال: 2016
ISSN: 1077-3142
DOI: 10.1016/j.cviu.2015.10.015