Add to ORKGAbstract An algorithm is proposed for tracking objects in real time. The algorithm is based on neural network implemented on GPU. Investigation and parameter optimization of the algorithm are realized. Tracking process has accelerated by 10 times and the training process has accelerated by 2 times versus to the sequential algorithm version. The maximum resolution of the frame for real-time tracking and the optimum frame sampling from a movie are calculated
The GPU is the main processing unit on a graphics card. A modern GPU typically provides more than te...
One of the promising areas of development and implementation of artificial intelligence is the autom...
Visual object tracking is one of the most fundamental research topics in computer vision that aims ...
A description of fast realization of the object tracking algorithm is presented. It is designed to t...
Real-time object tracking is a problem which involves extraction of critical information from comple...
This work describes a neural network based architecture that represents and estimates object motion ...
Tracking objects in a video stream is an important problem in robot learning (learning an object’s v...
This bachelors thesis is focused on implementation of particle filter algorithm in CUDA technology f...
A target tracking algorithm able to identify the position and to pursuit moving targets in video dig...
The problem of processing point cloud sequences is considered in this work. In particular, a system ...
This article describes a system that aims to track small animals in the context of laboratory tests ...
The recently proposed tracking-learning-detection (TLD) method has become a popular visual tracking ...
Project (M.S., Computer Science) -- California State University, Sacramento, 2010.The intent of this...
Moving object detection is a relevant step for many computer vision applications, and specifically f...
The detection and tracking of moving objects attracted a lot of concern because of the vast computer...
The GPU is the main processing unit on a graphics card. A modern GPU typically provides more than te...
One of the promising areas of development and implementation of artificial intelligence is the autom...
Visual object tracking is one of the most fundamental research topics in computer vision that aims ...
A description of fast realization of the object tracking algorithm is presented. It is designed to t...
Real-time object tracking is a problem which involves extraction of critical information from comple...
This work describes a neural network based architecture that represents and estimates object motion ...
Tracking objects in a video stream is an important problem in robot learning (learning an object’s v...
This bachelors thesis is focused on implementation of particle filter algorithm in CUDA technology f...
A target tracking algorithm able to identify the position and to pursuit moving targets in video dig...
The problem of processing point cloud sequences is considered in this work. In particular, a system ...
This article describes a system that aims to track small animals in the context of laboratory tests ...
The recently proposed tracking-learning-detection (TLD) method has become a popular visual tracking ...
Project (M.S., Computer Science) -- California State University, Sacramento, 2010.The intent of this...
Moving object detection is a relevant step for many computer vision applications, and specifically f...
The detection and tracking of moving objects attracted a lot of concern because of the vast computer...
The GPU is the main processing unit on a graphics card. A modern GPU typically provides more than te...
One of the promising areas of development and implementation of artificial intelligence is the autom...
Visual object tracking is one of the most fundamental research topics in computer vision that aims ...