This paper presents a new system for recognition, tracking and pose estimation of people in video sequences. It is based on the wavelet transform from the upper body part and uses ...
Philipp Zehnder, Esther Koller-Meier, Luc J. Van G...
A novel technique to detect and localize periodic movements in video is presented. The distinctive feature of the technique is that it requires neither feature tracking nor object...
Human activity recognition has potential to impact a wide range of applications from surveillance to human computer interfaces to content based video retrieval. Recently, the rapi...
Kiwon Yun, Jean Honorio, Debaleena Chattopadhyay, ...
This paper describes the participation of the School of Informatics, University of Wales, Bangor in the 2004 Text Retrieval Conference. We present additions and modications to the...
Abstract. Many sensor network applications demand tightly-bounded object detection quality. To meet such stringent requirements, we develop three sensing scheduling protocols to gu...