Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …

Multiple Object Tracking (MOT) plays an important role in solving many fundamental
problems in video analysis and computer vision. Most MOT methods employ two steps …

Multi-person articulated pose tracking in unconstrained videos is an important while
challenging problem. In this paper, going along the road of top-down approaches, we …

This paper addresses the challenge of 3D full-body human pose estimation from a
monocular image sequence. Here, two cases are considered:(i) the image locations of the …

In this work, we introduce the challenging problem of joint multi-person pose estimation and
tracking of an unknown number of persons in unconstrained videos. Existing methods for …

Recovering 3D full-body human pose is a challenging problem with many applications. It
has been successfully addressed by motion capture systems with body worn markers and …

Abstract Multi-People Tracking in an open-world setting requires a special effort in precise
detection. Moreover, temporal continuity in the detection phase gains more importance …

Human pose estimation aims at localizing human anatomical keypoints or body parts in the
input data (eg, images, videos, or signals). It forms a crucial component in enabling …

Deep ConvNets have been shown to be effective for the task of human pose estimation from
single images. However, several challenging issues arise in the video-based case such as …

Advances in video capturing devices enable adaptive posture estimation (APE) and event
classification of multiple human-based videos for smart systems. Accurate event …