This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
The paper addresses the problem of improving the MPEG compression of synthetic video sequences by exploiting the knowledge about the original 3D model. Two techniques are proposed...
A common problem in moving object databases (MOD) is the reconstruction of a trajectory from a trajectory sample (i.e., a finite sequence of time-space points). A typical solution...
Alejandro A. Vaisman, Bart Kuijpers, Bart Moelans,...
— Rapid-deployment mobile ad-hoc networks (MANETs) are frequently characterized by common overarching mission objectives which make it reasonable to expect some degree of coopera...
Ghassen Ben Brahim, Osama Awwad, Ala I. Al-Fuqaha,...
There are many applications of large scale sensor networks in which both the stimulus and the data collection stations are mobile (i.e. animal tracking, battlefield chasing). TTDD ...
Hong Zhou, Lu Jin, Zhongwei Zhang, Hesham H. Ali, ...