کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4969239 | 1449927 | 2017 | 42 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Adaptive directional bounding box from RGB-D information for improving fall detection
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
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چکیده انگلیسی
Fall detection for aging people is still a mainstream research focus for the current aging society. Tools that are simple and inexpensive but have high accuracy rates are needed. RGB-D information retrieved from a home entertainment system was used to detect falls using typical bounding boxes techniques. These techniques have limitations. This research introduced the Adaptive Directional Bounding Box that made use of a comprehensive bounding box and a dynamic state machine in a new way to detect falls. The proposed approach offered a way to track and analyze continuous data streams of the visual images to automatically predict a fall event prior to the fall state in a single-phase instead of the typical two-phases. This can significantly affect the survival or severe injury of the elderly. The proposed method can improve accuracy by 25.5% and the response time by 21.31% on average as compared to existing approaches.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 49, November 2017, Pages 257-273
Journal: Journal of Visual Communication and Image Representation - Volume 49, November 2017, Pages 257-273
نویسندگان
Apichet Yajai, Suwanna Rasmequan,