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2,276 Followers, 6,373 Following, 3,966 Posts - Alejandro Pose (@posealejandro) on Instagram: "Si estás oculta , como sabré quién eres... Me amas a oscuras , duermes envuelta en redes "
Mar 22, 2016 · Stacked Hourglass Networks for Human Pose Estimation. Alejandro Newell, Kaiyu Yang, Jia Deng. This work introduces a novel convolutional network architecture for the task of human pose estimation. Features are processed across all scales and consolidated to best capture the various spatial relationships associated with the body.
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- Hourglass Design
- Layer Implementation
- Stacked Hourglass with Intermediate Supervision
- Training Details
The design of the hourglass is motivated by the need to capture information at every scale. While local evidence is essential for identifying features like faces and hands, a final pose estimate requires a coherent understanding of the full body. The person’s orientation, the arrangement of their limbs, and the relationships of adjacent joints are ...
While maintaining the overall hourglass shape, there is still some flexibility in the specific implementation of layers. Different choices can have a moderate impact on the final performance and training of the network. We explore several options for layer design in our network. Recent work has shown the value of reduction steps with 1\\(\\,\\times \\,...
We take our network architecture further by stacking multiple hourglasses end-to-end, feeding the output of one as input into the next. This provides the network with a mechanism for repeated bottom-up, top-down inference allowing for reevaluation of initial estimates and features across the whole image. The key to this approach is the prediction o...
We evaluate our network on two benchmark datasets, FLIC and MPII Human Pose . FLIC is composed of 5003 images (3987 training, 1016 testing) taken from films. The images are annotated on the upper body with most figures facing the camera straight on. MPII Human Pose consists of around 25k images with annotations for multiple people providing 40k an...
- Alejandro Newell, Kaiyu Yang, Jia Deng
- 2016
Alejandro Pose, atleta federado de natação no Flamengo e estudante do Colégio Santo Inácio, concilia a vida de atleta com a de estudante, somando uma intensa rotina de treinos e de estudos. Ele acredita que ser um atleta pode trazer benefícios, muito além dos físicos.
Stacked Hourglass Networks for Human Pose Estimation Alejandro Newell, Kaiyu Yang, and Jia Deng University of Michigan, Ann Arbor falnewell,yangky,jiadengg@umich.edu Abstract. This work introduces a novel convolutional network archi-tecture for the task of human pose estimation. Features are processed
Alejandro Newell, Kaiyu Yang, Jia Deng. Research output: Chapter in Book/Report/Conference proceeding › Conference contribution. 3273 Scopus citations. Overview. Fingerprint. Abstract. This work introduces a novel convolutional network architecture for the task of human pose estimation.
