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DeepPose: Human Pose Estimation via Deep Neural Networks

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Toshev, Alexander, Szegedy, Christian·2014·2014 IEEE Conference on Computer Vision and Pattern Recognition

DOI 10.1109/cvpr.2014.214

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Abstract

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.

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Authors: Toshev, A., & Szegedy, C.
Venue: 2014 IEEE Conference on Computer Vision and Pattern Recognition
Publisher: IEEE
Published: 2014-06
Pages: 1653-1660
ISSN: 1063-6919 (ISSN-L)
DOI: 10.1109/cvpr.2014.214
OpenAlex: W2113325037
Cited by: 3,185
References: 2
FWCI: 94.60
Type: conference paper
Language: en
Open access: green

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DeepPose: Human Pose Estimation via Deep Neural Networks

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