We present a machine learning framework that automatically generates a model set of landmarks for some class of registered 3D objects: here we use human faces. The aim is to repla...
We address the problem of object detection and segmentation using holistic properties of object shape. Global shape representations are highly susceptible to clutter inevitably pr...
When automatic speech recognition (ASR) and speaker verification (SV) are applied in adverse acoustic environments, endpoint detection and energy normalization can be crucial to th...
A powerful strategy in intrusion detection is the separation of surveillance mechanisms from a site’s policy for processing observed events. The Bro intrusion detection system h...
We propose an object detection method using particle filters. Our approach estimates the probability of object presence in the current image given the history of observations up t...