Egocentric vision (aka first-person vision–FPV) applications have thrived over the past few
years, thanks to the availability of affordable wearable cameras and large annotated …

As computers become more pervasive in society, facilitating natural human–computer
interaction (HCI) will have a positive impact on their use. Hence, there has been growing …

We present a novel solution to the problem of recovering and tracking the 3D position,
orientation and full articulation of a human hand from markerless visual observations …

Multiple human tracking (MHT) is a fundamental task in many computer vision applications.
Appearance‐based approaches, primarily formulated on RGB data, are constrained and …

We address the task of pixel-level hand detection in the context of ego-centric cameras.
Extracting hand regions in ego-centric videos is a critical step for understanding handobject …

Due to occlusions, the estimation of the full pose of a human hand interacting with an object
is much more challenging than pose recovery of a hand observed in isolation. In this work …

Abstract 3D Hand pose estimation has received an increasing amount of attention,
especially since consumer depth cameras came onto the market in 2010. Although …

We propose a method that relies on markerless visual observations to track the full
articulation of two hands that interact with each-other in a complex, unconstrained manner …

Hand posture recognition (HPR) is quite a challenging task, due to both the difficulty in
detecting and tracking hands with normal cameras and the limitations of traditional manually …

We present markerless camera tracking and user interface methodology for readily
inspecting augmented reality (AR) objects in wearable computing applications. Instead of a …