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

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