Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion (2019-01-15T00:00:00.000000Z)

TL;DR

This work combines image entropy and density clustering to exploit the key frames from hand gesture video for further feature extraction, which can improve the efficiency of recognition.

Authors

N. Sebe

21 papers

Hao Tang

4 papers

Hong Liu

1 papers

Wei Xiao

1 papers

TL;DR

Authors

References71 items

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Calculate ρ for each point in P extreme using Formula (6) or (7)

Obtain P extreme by uniting the local maximum points P max and local minimum points

Calculate image entropy E ( f i ) of each frame in V using Formula 2

Choose the N largest δ values as the clustering centers

Find local minimum points P

The key frames S Keyframes

Map E ( f i ) to a two-dimensional coordinate space

Field of Study

Journal Information

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Venue Information

Hand Gestures for Intelligent Tutoring Systems: Dataset, Techniques & Evaluation