We present a technique for estimating the spatial layout of humans in still images—the
position of the head, torso and arms. The theme we explore is that once a person is …

Human pose estimation from image or video is a basic issue in computer graphics and
computer vision. The challenge of human pose estimation in video lies in the temporal …

While human pose estimation (HPE) techniques usually process each test image
independently, in real applications images come in collections containing interdependent …

In this paper, we present a new pedestrian detection method combining Random Forest and
Dominant Orientation Templates (DOT) to achieve state-of-the-art accuracy and, more …

This chapter will survey approaches to person detection and pose estimation with the use of
part-based models. After a brief introduction/motivation for the need for parts, the bulk of the …

In this paper, we propose a method for detecting humans and vehicles in imagery taken from
a UAV. This is a challenging problem due to a limited number of pixels on target, which …

Pose estimation is a task with wide application prospects in computer vision, which remains
a challenging problem. In this paper, a novel pose estimation algorithm is proposed on the …

In this paper, we propose a novel and integrated framework to estimate human pose. Firstly,
a pose cluster of the relative location between connected parts is applied before pictorial …

Human parsing recovers the 2D spatial layout of a human figure in an image. First, patches
in the image that resemble body parts, ie, head, torso and limbs, are identified, then a …

In this thesis, we consider three challenging and longstanding problems in computer vision:
people detection, people tracking and articulated pose estimation. Generic solutions to …