A spatial-color-based non-parametric background-foreground modeling strategy in a GPGPU by using CUDA is proposed. This strategy is suitable for augmented-reality applications, providing real-time high-quality results in a great variety of scenarios
Abstract—In this paper, we construe key factors in design and evaluation of image processing algorit...
This thesis addresses the topic of object detection on graphics processing units. As a part of it, a...
Nowadays vision systems are used with countless purposes. Moreover, the motion estimation is a disci...
The last generation of consumer electronic devices is endowed with Augmented Reality (AR) tools. The...
A novel GPU-based nonparametric moving object detection strategy for computer vision tools requiring...
The main purpose of this survey is presenting the potential ofGPGPU technology for real time markerl...
Moving object detection is a relevant step for many computer vision applications, and specifically f...
The rapid growth of video processing techniques has led to remarkable contributions in several appli...
This paper describes a real-time implementation of a recently proposed background maintenance algori...
Here, a novel and efficient moving object detection strategy by non-parametric modeling is presented...
Abstract—This paper proposes a GPU based algorithm for extracting moving objects in real time. The w...
In 2006 NVIDIA introduced a new unified GPU architecture facilitating general-purpose computation on...
The advent of GPGPU technologies has allowed for sensible speed-ups in many high-dimension, memory-i...
High speed feature point detection and tracking is very demanding for many realtime computer vision ...
This thesis puts to the test the power of parallel computing on the GPU against the massive computat...
Abstract—In this paper, we construe key factors in design and evaluation of image processing algorit...
This thesis addresses the topic of object detection on graphics processing units. As a part of it, a...
Nowadays vision systems are used with countless purposes. Moreover, the motion estimation is a disci...
The last generation of consumer electronic devices is endowed with Augmented Reality (AR) tools. The...
A novel GPU-based nonparametric moving object detection strategy for computer vision tools requiring...
The main purpose of this survey is presenting the potential ofGPGPU technology for real time markerl...
Moving object detection is a relevant step for many computer vision applications, and specifically f...
The rapid growth of video processing techniques has led to remarkable contributions in several appli...
This paper describes a real-time implementation of a recently proposed background maintenance algori...
Here, a novel and efficient moving object detection strategy by non-parametric modeling is presented...
Abstract—This paper proposes a GPU based algorithm for extracting moving objects in real time. The w...
In 2006 NVIDIA introduced a new unified GPU architecture facilitating general-purpose computation on...
The advent of GPGPU technologies has allowed for sensible speed-ups in many high-dimension, memory-i...
High speed feature point detection and tracking is very demanding for many realtime computer vision ...
This thesis puts to the test the power of parallel computing on the GPU against the massive computat...
Abstract—In this paper, we construe key factors in design and evaluation of image processing algorit...
This thesis addresses the topic of object detection on graphics processing units. As a part of it, a...
Nowadays vision systems are used with countless purposes. Moreover, the motion estimation is a disci...