In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
Faisal I. Bashir, Wei Qu, Ashfaq A. Khokhar, Dan S...
In this work we propose an intuitive graphic framework for the effective visualization of MPEG-7 low-level features, in the context of classification and annotation of audio-visu...
Marco Campanella, Riccardo Leonardi, Pierangelo Mi...
Periodicity is useful for compact representation of periodic motion and a reasonable selection of a proper temporal scale for periodic motion analysis. In this paper, we concern t...
This paper deals with general nested loops and proposes a novel scheduling methodology for reducing the communication cost of parallel programs. General loops contain complex loop...
Florina M. Ciorba, Theodore Andronikos, Ioannis Dr...
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...