We present a new paradigm for tracking objects in video in the presence of other similar objects. This branch-andtrack paradigm is also useful in the absence of motion, for the di...
This paper presents an efficient Real-Time method for detecting moving objects in unconstrained environments, using a background subtraction technique. A new background model that...
Ariel Amato, Mikhail Mozerov, Ivan Huerta Casado, ...
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
High frame rate video capture and image processing is an important capability for applications in defense and homeland security where incoming missiles must be detected in very sh...
This work presents a real time system for detection and tracking of facial features in video sequences. Such system may be used in visual communication applications, such as teleco...