This paper presents a novel method for real-time tracking of objects in video sequences. Tracking is performed using the so-called Morphological Elastic Graph Matching algorithm. ...
Georgios N. Stamou, Nikos Nikolaidis, Ioannis Pita...
Video contains multiple types of audio and visual information, which are difficult to extract, combine or trade-off in general video information retrieval. This paper provides an ...
Currently, bandwidth limitations pose a major challenge for delivering high-quality multimedia information over the Internet to users. In this research, we aim to provide a better...
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...
Abstract. This paper describes Pittsburgh Pattern Recognition's participation in the face detection and tracking tasks for the CLEAR 2006 evaluation. We first give a system ov...