FPGA-Based Implementation for Real-Time Epileptic EEG Classification Using Hjorth Descriptor and KNN

Parallel MPC for Real-Time FPGA-based Implementation

The succesful application of model predictive control (MPC) in fast embedded systems relies on faster and more energy efficient ways of solving complex optimization problems. A custom quadratic programming (QP) solver implementation on a field-programmable gate array (FPGA) can provide substantial acceleration by exploiting the parallelism inherent in some optimization algorithms, apart from pr...

FPGA-based Real-time Optical Flow Algorithm Design and Implementation

Optical flow algorithms are difficult to apply to robotic vision applications in practice because of their extremely high computational and frame rate requirements. In most cases, traditional general purpose processors and sequentially executed software cannot compute optical flow in real time. In this paper, a tensor-based optical flow algorithm is developed and implemented using field program...

FPGA Implementation for GHA-Based Texture Classification

EEG-based Classification of Epileptic and Non-Epileptic Events using Multi-Array Decomposition

1 EEG-based Classification of Epileptic and Non-Epileptic Events using Multi-Array Decomposition; Evangelia Pippa, Multidimensional Data Analysis and Knowledge Management Laboratory, Department of Computer Engineering and Informatics, University of Patras, Patras, Greece Vasileios G. Kanas, Multidimensional Data Analysis and Knowledge Management Laboratory, Department of Computer Engineering an...

FPGA Implementation of Object-Based Real-Time Object Tracking Architecture

1. Introduction Detecting moving objects in a video sequence and object tracking are indispensable technologies for surveillance and recognition systems. Various solutions have already been proposed for video object tracking (e.g. background difference based method [1], optical flow based method, and model-based method). However, each method has some short comings, for example, although the bac...