Articulated Pose Estimation Using Hierarchical Exemplar-Based Models

Hierarchical 3D Pose Estimation for Articulated Human Body Models from a Sequence of Volume Data

Continuous - state Graphical Models for Object Localization , Pose Estimation and Tracking

of “Continuous-state Graphical Models for Object Localization, Pose Estimation and Tracking” by Leonid Sigal, Ph.D., Brown University, May 2008. Reasoning about pose and motion of objects, based on images or video, is an important task for many machine vision applications. Estimating the pose of articulated objects such as people and animals is particularly challenging due to the complexity of ...

Shape Models of the Human Body for Distributed Inference

of “Shape Models of the Human Body for Distributed Inference” by Silvia Zuffi, Ph.D., Brown University, May 2015 In this thesis we address the problem of building shape models of the human body, in 2D and 3D, which are realistic and efficient to use. We focus our efforts on the human body, which is highly articulated and has interesting shape variations, but the approaches we present here can b...

Markerless Multi-view Articulated Pose Estimation Using Adaptive Hierarchical Particle Swarm Optimisation

In this paper, we present a new adaptive approach to multi-view markerless articulated human body pose estimation from multi-view video sequences, using Particle Swarm Optimisation (PSO). We address the computational complexity of the recently developed hierarchical PSO (HPSO) approach, which successfully estimated a wide range of different motion with a fixed set of parameters, but incurred an...

Combined discriminative and generative articulated pose and non-rigid shape estimation

Estimation of three-dimensional articulated human pose and motion from images is a central problem in computer vision. Much of the previous work has been limited by the use of crude generative models of humans represented as articulated collections of simple parts such as cylinders. Automatic initialization of such models has proved difficult and most approaches assume that the size and shape o...