Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect
By James Charles, Mark Everingham. 2011
48 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering
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In Computer Vision and Pattern Recognition
In Control and Systems Engineering
Citations in the corpus
- Space-Time Representation of People Based on 3D Skeletal Data: A Review (2016, methodology): “[54] Conditional regression forests Single depth image 3D skeleton, over 80% average precision Charles and Everingham [55] Limb-based shape models Single depth image 2D skeleton, robust to occlusions”
- Body Surface Context: A New Robust Feature for Action Recognition From Depth Videos (2014, methodology): “[27] used random forest and graph cuts for segmenting human limbs while Charles and Everingham [28] learned a model of limb shape to estimate human pose.”