of using 2D posture estimation to detect pedestrian intentions under natural ... abstract features from posture after dimensionality reduction, we ...
2D facial image are linked by a certain relationship [20]. Appearance ... using the robust 3-level HOG pyramid and then the par- tial least square ...
Using deep convolutional neural networks (CNNs) as the primary framework for object detection can efficiently extract features, which is closer to real-time ...
Head pose estimation (HPE) is the task to support biometric systems in which any of the biometric traits of the head is involved, as face, ear or iris. This ...
Jan 9, 2016 · In [6], the problem of estimating driver head pose is addressed using a localized gradient orientation descriptor on 2D video frames acquired by ...
[PDF] Body Parts Dependent Joint Regressors for Human Pose ...
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Abstract—In this work, we address the problem of estimating 2d human pose from still images. ... A variety of image features for pose estimation has been.
Nov 25, 2016 · Based on one standard pipeline for the solution of computer vision problems, this survey splits the problem into several modules: feature ...
Abstract. We address the problem of recovering 3D human pose from single 2D images, in which the pose estimation problem is formulated as a direct nonlinear.
Missing: Head Pyramid
These parts are trained side- by-side with the face using a spring-like constraint. They are fine-tuned to work efficiently with the HOG [3] features. A ...
Missing: 2D | Show results with:2D
OpenPose, CPN, AlphaPose, and HRNet are some of the most popular 2D human pose estimate algorithms. The location of body joints in 3D space is predicted using ...