3D Tracking for Gait Characterization and Recognition
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This thesis proposes a Chamfer-based method for human body pose detection that combines silhouette matching, motion information, and statistical relevance estimates in an original way. We demonstrate that our method can not only detect people but also reco ...
Ever since the development of Computer Graphics in the industrial and academic worlds in the seventies, public knowledge and expertise have grown in a tremendous way, notably because of the increasing fascination for Computer Animation. This specific field ...
In this paper we address the problem in motion recognition using event-based local motion representations. We assume that similar patterns of motion contain similar events with consistent motion across image sequences. Using this assumption, we formulate t ...
In this work, we propose new ways to learn pose and motion priors models and show that they can be used to increase the performance of 3D body tracking algorithms, resulting in very realistic motions under very challenging conditions. We first explored an ...
We explore an approach to 3D people tracking with learned motion models and deterministic optimization. The tracking problem is formulated as the minimization of a differ- entiable criterion whose differential structure is rich enough for optimization to b ...
In this paper, we present an interactive motion deformation method to modify animations so that they satisfy a set of prioritized constraints. Our approach successfully handles the problem of retargeting and adjusting a motion, as well as adding significan ...
This work addresses the problem of tracking, in real video sequences, the global motion of an infant face as well as the local motion of its inner features. This is a challenging task in Computer Vision field, because of the variability of facial appearanc ...
This document describes our work to provide a video database, of people in real situations with their head pose continuously annotated through time. The head poses were annotated using a magnetic 3d location and orientation tracker, the flock of bird. The ...
Particle filtering (PF) is now established as one of the most popular methods for visual tracking. Within this framework, two assumptions are generally made. The first is that the data are temporally independent given the sequence of object states, and the ...
There has been much effort invested in increasing the robustness of human body tracking by incorporating motion models. Most approaches are probabilistic in nature and seek to avoid becoming trapped into local minima by considering multiple hypotheses, whi ...