Although more efficient in computation compared to other tracking approaches such as particle filtering, the kernel-based tracking suffers from the "singularity" problem...
Fast and accurate motion detection in the presence of camera jitter is known to be a difficult problem. Existing statistical methods often produce abundant false positives since ...
Pierre-Marc Jodoin, Janusz Konrad, Venkatesh Salig...
In this paper, we propose a novel image similarity learning approach based on Probabilistic Feature Matching (PFM). We consider the matching process as the bipartite graph matchin...
This paper describes a web-based system that integrates knowledge management and decision-making features to enable short-term communities of practice develop manufacturing strate...
Nikos I. Karacapilidis, Emmanuel Adamides, Christi...
This paper proposes a switching hypothesized measurements (SHM) model supporting multimodal probability distributions and presents the application of the model in handling potenti...