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Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
We present an approach to efficiently detect the 2D pose of multiple people in an image. Expand
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Convolutional Pose Machines
We propose a systematic design for how convolutional networks can be incorporated into the pose machine framework for learning image features and image-dependent spatial models for the task of pose estimation. Expand
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OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields.
We present the first bottomup representation of association scores via Part Affinity Fields (PAFs), a set of 2D vector fields that encode the location and orientation of limbs over the image domain. Expand
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Bayesian modeling of dynamic scenes for object detection
  • Yaser Sheikh, M. Shah
  • Mathematics, Medicine
  • IEEE Transactions on Pattern Analysis and Machine…
  • 1 November 2005
In this paper, we present an object detection scheme that has three innovations over existing approaches. Expand
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Hand Keypoint Detection in Single Images Using Multiview Bootstrapping
We present an approach that uses a multi-camera system to train fine-grained detectors for keypoints that are prone to occlusion, such as the joints of a hand. Expand
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Nonrigid Structure from Motion in Trajectory Space
We show that generic bases over trajectories, such as the Discrete Cosine Transform (DCT) basis, can be used to compactly describe most real motions. Expand
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Reconstructing 3D Human Pose from 2D Image Landmarks
We present an activity-independent method to recover the 3D configuration of a human figure from 2D locations of anatomical landmarks in a single image, leveraging a large motion capture corpus as a proxy for visual memory. Expand
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Background Subtraction for Freely Moving Cameras
A sparse model of background is built by robustly estimating a compact trajectory basis from trajectories of salient features across the video, and the background is ‘subtracted by removing trajectories that lie within the space spanned by the basis. Expand
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Trajectory Space: A Dual Representation for Nonrigid Structure from Motion
We propose the use of the Discrete Cosine Transform (DCT) as the object independent basis and empirically demonstrate that it approaches Principal Component Analysis. Expand
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3D Reconstruction of a Moving Point from a Series of 2D Projections
This paper presents a linear solution for reconstructing 3D trajectory of a moving point from its correspondence in a collection of 2D perspective images, given the 3D spatial pose and time of capture of the cameras that produced each image. Expand
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