Reconfigurable computing architectures

R Tessier, K Pocek, A DeHon - Proceedings of the IEEE, 2015 - ieeexplore.ieee.org
Reconfigurable architectures can bring unique capabilities to computational tasks. They
offer the performance and energy efficiency of hardware with the flexibility of software. In …

[图书][B] Background modeling and foreground detection for video surveillance

T Bouwmans, F Porikli, B Höferlin, A Vacavant - 2014 - books.google.com
Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …

Highly parallel and ultra-low-power probabilistic reasoning with programmable gaussian-like memory transistors

C Lee, L Rahimifard, J Choi, J Park, C Lee… - Nature …, 2024 - nature.com
Probabilistic inference in data-driven models is promising for predicting outputs and
associated confidence levels, alleviating risks arising from overconfidence. However …

Moving object detection based on optical flow estimation and a Gaussian mixture model for advanced driver assistance systems

J Cho, Y Jung, DS Kim, S Lee, Y Jung - Sensors, 2019 - mdpi.com
Most approaches for moving object detection (MOD) based on computer vision are limited to
stationary camera environments. In advanced driver assistance systems (ADAS), however …

Machine learning algorithms for FPGA Implementation in biomedical engineering applications: A review

MB Altman, W Wan, AS Hosseini, SA Nowdeh… - Heliyon, 2024 - cell.com
Abstract Field Programmable Gate Arrays (FPGAs) are integrated circuits that can be
configured by the user after manufacturing, making them suitable for customized hardware …

EVBS-CAT: enhanced video background subtraction with a controlled adaptive threshold for constrained wireless video surveillance

A Aliouat, N Kouadria, M Maimour, S Harize - Journal of Real-Time Image …, 2024 - Springer
Moving object detection (MOD) has gained significant attention for its application in
advanced video surveillance tasks. Region-of-Interest (ROI) detection algorithms are …

Fast Iris localization using Haar-like features and AdaBoost algorithm

YN Lin, TY Hsieh, JJ Huang, CY Yang… - Multimedia Tools and …, 2020 - Springer
Traditional iris recognition methods, which are still preferred against artificial intelligence (AI)
approaches in practical applications, are often required to capture high-grade iris samples …

A system on chip-based real-time tracking system for amphibious spherical robots

S Guo, S Pan, X Li, L Shi, P Zhang… - … Journal of Advanced …, 2017 - journals.sagepub.com
Aiming at vision applications of our amphibious spherical robot, a real-time detection and
tracking system adopting Gaussian background model and compressive tracking algorithm …

Real-time implementation of contextual image processing operations for 4K video stream in Zynq ultrascale+ MPSoC

M Kowalczyk, D Przewlocka… - 2018 Conference on …, 2018 - ieeexplore.ieee.org
In this paper hardware implementation of selected contextual based image pre-processing
modules for a 3840× 2160@ 60 FPS video stream in a Zynq UltraScale+ MPSoC is …

Data-driven background subtraction algorithm for in-camera acceleration in thermal imagery

K Makantasis, A Nikitakis, AD Doulamis… - … on Circuits and …, 2017 - ieeexplore.ieee.org
Detection of moving objects in videos is a crucial step toward successful surveillance and
monitoring applications. A key component for such tasks is called background subtraction …