The segmentation of time-series is a constrained clustering problem: the data points should be grouped by their similarity, but with the constraint that all points in a cluster mus...
This paper presents an event detector for emergencies in crowds. Assuming a single camera and a dense crowd we rely on optical flow instead of tracking statistics as a feature to ...
Ernesto L. Andrade, Scott Blunsden, Robert B. Fish...
Abstract: One of the basic tasks of automotive collision avoidance and collision mitigation systems is the robust and reliable detection of objects as well as the prediction of fut...
Norman Mattern, Robin Schubert, Christian Adam, Ge...
Abstract: This paper proposes a novel approach to nonrigid, markerless motion capture from synchronized video streams acquired by calibrated cameras. The instantaneous geometry of ...
In a known environment, objects may be tracked in multiple views using a set of background models. Stereo-based models can be illumination-invariant, but often have undefined valu...
Trevor Darrell, David Demirdjian, Neal Checka, Ped...