DeepPose: Human Pose Estimation via Deep Neural Networks

DeepPose: Human Pose Estimation via Deep Neural Networks

We propose a method for human pose estimation based on Deep Neural Networks (DNNs). The pose estimation is formulated as a DNN-based regression problem towards body joints. We present a cascade of such DNN regres- sors which results in high precision pose estimates. The approach has the advantage of...

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Bibliographic Details
Published in:2014 IEEE Conference on Computer Vision and Pattern Recognition pp. 1653 - 1660
Main Authors: Toshev, Alexander, Szegedy, Christian
Format: Conference Proceeding
Language:English
Published: IEEE 01-06-2014
Subjects:
cascades
Computational modeling
deep learning
Detectors
Estimation
human pose estimation
Joints
Measurement
neural networks
Training
Vectors
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Summary:We propose a method for human pose estimation based on Deep Neural Networks (DNNs). The pose estimation is formulated as a DNN-based regression problem towards body joints. We present a cascade of such DNN regres- sors which results in high precision pose estimates. The approach has the advantage of reasoning about pose in a holistic fashion and has a simple but yet powerful formula- tion which capitalizes on recent advances in Deep Learn- ing. We present a detailed empirical analysis with state-of- art or better performance on four academic benchmarks of diverse real-world images.
ISSN:1063-6919
DOI:10.1109/CVPR.2014.214