Temporal alignment of human motion has been a topic of recent interest due to its
applications in animation, telerehabilitation and activity recognition among others. This …

We address the problem of structure learning of human motion in order to recognize actions
from a continuous monocular motion sequence of an arbitrary person from an arbitrary …

As the number of electronic components in automobiles steadily increases, the demand for
higher communication bandwidth also rises dramatically. Instead of installing new wiring …

Bundle adjustment jointly optimizes camera intrinsics and extrinsics and 3D point
triangulation to reconstruct a static scene. The triangulation constraint however is invalid for …

We address the problem of learning view-invariant 3D models of human motion from motion
capture data, in order to recognize human actions from a monocular video sequence with …

A method for detecting and segmenting periodic motion is presented. We exploit periodicity
as a cue and detect periodic motion in complex scenes where common methods for motion …

Research on replication techniques to reduce traffic and minimize the latency of information
retrieval in a distributed system has concentrated on client-based caching, whereby …

Two major obstacles to the use of consumer camcorders in computer vision applications are
the lack of synchronization hardware, and the use of a" rolling" shutter, which introduces a …

Aligning video is a fundamental task in computer graphics and vision, required for a wide
range of applications. We present an interactive method for computing optimal nonlinear …

In this paper, we consider the problem of estimating the spatiotemporal alignment between
N unsynchronized video sequences of the same dynamic 3D scene, captured from distinct …