Human movement is goal-directed and influenced by the spatial layout of the objects in the scene.
Unlike prior learning based work which has focused on predicting dense pixel-wise optical flow field and/or a depth map for each image, we propose to predict object instance specific 3D scene flow maps and instance masks from which we are able to derive the motion direction and speed for each object instance.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Ranked #4 on Pose Estimation on MPII Single Person
We present an approach to efficiently detect the 2D pose of multiple people in an image.
Ranked #5 on 2D Human Pose Estimation on COCO-WholeBody