Hand Detection using Deformable Part Models on an Egocentric Perspective
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | 2018 International Conference on Digital Image Computing |
Subtitle of host publication | Techniques and Applications, DICTA 2018 |
Publisher | Institute of Electrical and Electronics Engineers, Inc. |
ISBN (electronic) | 978-1-5386-6602-9 |
Publication status | Published - Dec 2018 |
Publication series
Name | International Conference on Digital Image Computing, DICTA |
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Conference
Title | 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018 |
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Place | Australia |
City | Canberra |
Period | 10 - 13 December 2018 |
Link(s)
Abstract
The egocentric perspective is a recent perspective brought by new devices like the GoPro and Google Glass, which are becoming more available to the public. The hands are the most consistent objects in the egocentric perspective and they can represent more information about people and their activities, but the nature of the perspective and the ever changing shape of the hands makes them difficult to detect. Previous work has focused on indoor environments or controlled data since it brings simpler ways to approach it, but in this work we use data with changing background and variable illumination, which makes it more challenging. We use a Deformable Part Model based approach to generate hand proposals since it can handle the many gestures the hand can adopt and rivals other techniques on locating the hands while reducing the number of proposals. We also use the location where the hands appear and size in the image to reduce the number of detections. Finally, a CNN classifier is applied to remove the final false positives to generate the hand detections.
Citation Format(s)
Hand Detection using Deformable Part Models on an Egocentric Perspective. / Cruz, Sergio R.; Chan, Antoni B.
2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018. Institute of Electrical and Electronics Engineers, Inc., 2018. 8615781 (International Conference on Digital Image Computing, DICTA).
2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018. Institute of Electrical and Electronics Engineers, Inc., 2018. 8615781 (International Conference on Digital Image Computing, DICTA).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review