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Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture

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Event-based, 6-DOF Pose Tracking for High-Speed Maneuvers

Davide Scaramuzza

In the last few years, we have witnessed impres-sive demonstrations of aggressive flights and acrobatics using quadrotors. However, those robots are actually blind. They do not see by themselves, but through the “eyes” of an external motion capture system. ...

2014

Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures

Pascal Fua, Slobodan Ilic, Xinchao Wang, Vasileios Belagiannis

Multiple human 3D pose estimation from multiple camera views is a challenging task in unconstrained environments. Each individual has to be matched across each view and then the body pose has to be estimated. Additionally, the body pose of every individual ...

Springer2014

A method for real-time detection of human fall from video

Miranda Krekovic

In this paper we present a method for real-time detection of human fall from video for support of elderly people living alone in their homes. The detection algorithm has four steps: background estimation, extraction of moving objects, motion feature extrac ...

IEEE2012

Data-Driven Visual Tracking in Retinal Microsurgery

Pascal Fua, Raphael Sznitman, Karim Ali

In the context of retinal microsurgery, visual tracking of instruments is a key component of robotics assistance. The difficulty of the task and major reason why most existing strategies fail on {\it in-vivo} image sequences lies in the fact that complex a ...

2012

Bridging the Gap between Detection and Tracking for 3D Human Motion Recovery

Andrea Fossati

The aim of this thesis is to build a system able to automatically and robustly track human motion in 3–D starting from monocular input. To this end two approaches are introduced, which tackle two different types of motion: The first is useful to analyze ac ...

EPFL2010

From Canonical Poses to 3D Motion Capture Using a Single Camera

Pascal Fua, Vincent Lepetit, Andrea Fossati, Miodrag Dimitrijevic

We combine detection and tracking techniques to achieve robust 3D motion recovery of people seen from arbitrary viewpoints by a single and potentially moving camera. We rely on detecting key postures, which can be done reliably, using a motion model to inf ...

Institute of Electrical and Electronics Engineers2010

Pedestrian localization, tracking and behavior analysis from multiple cameras

Jérôme Berclaz

Video surveillance is currently undergoing a rapid growth. However, while thousands of cameras are being installed in public places all over the world, computer programs that could reliably detect and track people in order to analyze their behavior are not ...

EPFL2010

Tracking and Structure from Motion

Pierre Vandergheynst, Luigi Bagnato, Emmanuel D'Angelo, Andreas Weishaupt

Dense three-dimensional reconstruction of a scene from images is a very challenging task. In the structure from motion approach one of the key points is to compute depth maps which contain the distance of objects in the scene to a moving camera. Usually, t ...

2010

Video-Based Camera Tracking Using Rotation-Discriminative Template Matching

Touradj Ebrahimi

This paper presents a video-based camera tracker that combines marker-based and feature point-based cues in a particle filter framework. The framework relies on their complementary performance. Marker-based trackers can robustly recover camera position and ...

Springer2009

Observable Subspaces for 3D Human Motion Recovery

Pascal Fua, Mathieu Salzmann, Andrea Fossati

The articulated body models used to represent human motion typically have many degrees of freedom, usually expressed as joint angles that are highly correlated. The true range of motion can therefore be represented by latent variables that span a low-dimen ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009