[引用][C] Hand Gesture Recognition Using Faster R-CNN Inception V2 Model.
S Rubin Bose, V Sathiesh Kumar - AIR, 2019
[PDF][PDF] Hand Gesture Recognition Using Faster R-CNN Inception V2 Model
MIT Campus - 2019 - researchgate.net
The realtime hand motion recognition under unconstrained environment is a challenging
computer vision problem. The change in illumination and non-uniform background condition
makes it very difficult to perform real-time hand gesture recognition operations. This paper
demonstrates a region-based convolutional neural network for real-time hand gesture
recognition. The custom dataset is captured under unconstrained environments. The Faster
region-based convolutional neural network (Faster-RCNN) with Inception V2 architecture is …
computer vision problem. The change in illumination and non-uniform background condition
makes it very difficult to perform real-time hand gesture recognition operations. This paper
demonstrates a region-based convolutional neural network for real-time hand gesture
recognition. The custom dataset is captured under unconstrained environments. The Faster
region-based convolutional neural network (Faster-RCNN) with Inception V2 architecture is …
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