NDLI: DeepFinger: A Cascade Convolutional Neuron Network Approach to Finger Key Point Detection in Egocentric Vision with Mobile Camera

Content Provider	IEEE Xplore Digital Library
Author	Yichao Huang Xiaorui Liu Lianwen Jin Xin Zhang
Copyright Year	2015
Description	Author affiliation: Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China (Yichao Huang; Xiaorui Liu; Lianwen Jin; Xin Zhang)
Abstract	In this paper, we introduce a new approach to finger key point detection. For RGB images captured from an egocentric vision with a mobile camera, fingertip point detection remains a challenging problem due to various factors, like background complexity, illumination variety, hand shape diversity, and image blur cause by camera movements. To address these issues, we propose a bi-level cascade structure of a convolutional neuron network (CNN). The first-level CNN generates a bounding box of hand region by filtering a large proportion of complicated background information. Using the bounding box area as input, the second-level CNN including an extra branch returns accurate fingertip location with a multi-channel dataset. Our approach is the first attempt of finger key point detection from an egocentric vision with a mobile camera. The proposed method achieves satisfying and significant better results compared to previous fingertip detection methods based on handcraft features.
Starting Page	2944
Ending Page	2949
File Size	656519
Page Count	6
File Format	PDF
e-ISBN	9781479986972
DOI	10.1109/SMC.2015.512
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image color analysis Thumb Cameras Skin Image edge detection Lighting multi-channel dataset cascade convolutional neuron network (CNN) finger key point detection
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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