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arXiv · 1511.02282

Fingertip in the Eye: A cascaded CNN pipeline for the real-time fingertip detection in egocentric videos

Xiaorui Liu·Yichao Huang·Xin Zhang·Lianwen Jin
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Abstract

We introduce a new pipeline for hand localization and fingertip detection. For RGB images captured from an egocentric vision mobile camera, hand and fingertip detection remains a challenging problem due to factors like background complexity and hand shape variety. To address these issues accurately and robustly, we build a large scale dataset named Ego-Fingertip and propose a bi-level cascaded pipeline of convolutional neural networks, namely, Attention-based Hand Detector as well as Multi-point Fingertip Detector. The proposed method significantly tackles challenges and achieves satisfactorily accurate prediction and real-time performance compared to previous hand and fingertip detection methods.

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Xiaorui Liu, Yichao Huang, Xin Zhang, Lianwen Jin. 2015-11-07. Fingertip in the Eye: A cascaded CNN pipeline for the real-time fingertip detection in egocentric videos. https://arxiv.org/abs/1511.02282

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