Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging environments. This requires effective …
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 …
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 …
Abstract Field Programmable Gate Arrays (FPGAs) are integrated circuits that can be configured by the user after manufacturing, making them suitable for customized hardware …
Moving object detection (MOD) has gained significant attention for its application in advanced video surveillance tasks. Region-of-Interest (ROI) detection algorithms are …
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 …
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 …
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 …
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 …