Object tracking is viewed as a two-class 'one-versusrest' classification problem, in which the sample distribution of the target is approximately Gaussian while the back...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
We study the problem of clustering uncertain objects whose locations are uncertain and described by probability density functions. We analyze existing pruning algorithms and experi...
Multiprocessor architectures demand efficient interprocessor communication to maximize system utilization and performance. To meet future demands, these interconnects must communic...
Abstract. A tracking-by-detection framework is proposed that combines nearest-neighbor classification of bags of features, efficient subwindow search, and a novel feature selection...
High level hardware description languages aim to make hardware design more like programming software. These languages are often used to accelerate legacy software algorithms by ...