3d human pose estimation from a single image via distance matrix regression
F Moreno-Noguer - Proceedings of the IEEE conference on …, 2017 - openaccess.thecvf.com
This paper addresses the problem of 3D human pose estimation from a single image. We
follow a standard two-step pipeline by first detecting the 2D position of the N body joints, and …
follow a standard two-step pipeline by first detecting the 2D position of the N body joints, and …
Multi-target multi-camera tracking by tracklet-to-target assignment
This paper focuses on the Multi-Target Multi-Camera Tracking task (MTMCT), which aims at
tracking multiple targets within a multi-camera network. As the trajectory of each target is …
tracking multiple targets within a multi-camera network. As the trajectory of each target is …
Multi-target multi-camera tracking of vehicles using metadata-aided re-id and trajectory-based camera link model
In this paper, we propose a novel framework for multi-target multi-camera tracking (MTMCT)
of vehicles based on metadata-aided re-identification (MA-ReID) and the trajectory-based …
of vehicles based on metadata-aided re-identification (MA-ReID) and the trajectory-based …
Temporal subspace clustering for human motion segmentation
Subspace clustering is an effective technique for segmenting data drawn from multiple
subspaces. However, for time series data (eg, human motion), exploiting temporal …
subspaces. However, for time series data (eg, human motion), exploiting temporal …
A joint model for 2d and 3d pose estimation from a single image
We introduce a novel approach to automatically recover 3D human pose from a single
image. Most previous work follows a pipelined approach: initially, a set of 2D features such …
image. Most previous work follows a pipelined approach: initially, a set of 2D features such …
Single image 3D human pose estimation from noisy observations
Markerless 3D human pose detection from a single image is a severely underconstrained
problem because different 3D poses can have similar image projections. In order to handle …
problem because different 3D poses can have similar image projections. In order to handle …
Time series wind power forecasting based on variant Gaussian Process and TLBO
Due to the variability and stochastic nature of wind power, accurate wind power forecasting
plays an important role in develo** reliable and economic power system operation and …
plays an important role in develo** reliable and economic power system operation and …
Kinect posture reconstruction based on a local mixture of gaussian process models
Depth sensor based 3D human motion estimation hardware such as Kinect has made
interactive applications more popular recently. However, it is still challenging to accurately …
interactive applications more popular recently. However, it is still challenging to accurately …
A Gaussian process guided particle filter for tracking 3D human pose in video
In this paper, we propose a hybrid method that combines Gaussian process learning, a
particle filter, and annealing to track the 3D pose of a human subject in video sequences …
particle filter, and annealing to track the 3D pose of a human subject in video sequences …
An integrated physical-learning model of physical human-robot interactions with application to pose estimation in bikebot riding
Modeling physical human-robot interactions (pHRI) is important in studying human
sensorimotor skills and designing human assistive and rehabilitation systems. One of the …
sensorimotor skills and designing human assistive and rehabilitation systems. One of the …