Tracking and recognizing non-rigid objects in video image sequences are complex tasks of increasing importance to many applications. In this paper, we present a hierarchical reali...
SangKyu Kang, Joon Ki Paik, Besma R. Abidi, Yan Zh...
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Copyright 2005 IEEE. Published in the 2005 International Conference on Advanced Video and Signal-based Surveillance (AVSS-2005), September 15-16, 2005, Como, Italy. Personal use o...
In this paper we present an improved Active Shape Model (ASM) for facial features extraction. The original ASM developed by Cootes et al. [1] suffers from factors such as, poor mod...
Mohammad H. Mahoor, Mohamed Abdel-Mottaleb, A-Nass...