Fast animal pose estimation using deep neural networks.

Volume: 16, Issue: 1, Pages: 117 - 125
Published: Jan 1, 2019
Abstract
The need for automated and efficient systems for tracking full animal pose has increased with the complexity of behavioral data and analyses. Here we introduce LEAP (LEAP estimates animal pose), a deep-learning-based method for predicting the positions of animal body parts. This framework consists of a graphical interface for labeling of body parts and training the network. LEAP offers fast prediction on new data, and training with as few as 100...
Paper Details
Title
Fast animal pose estimation using deep neural networks.
Published Date
Jan 1, 2019
Volume
16
Issue
1
Pages
117 - 125
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