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Anomaly Detection for Manufacturing Applications Using Convolutional Autoencoders
Title
Anomaly Detection for Manufacturing Applications Using Convolutional Autoencoders
Author
Zouar, Nourelislam
Date Created
2021
Subjects--Topical
Computer science
Description
ABSTRACTNOURELISLAM ZOUAR. ANOMALY DETECTION FOR MANUFACTURING APPLICATIONS USING CONVOLUTIONAL AUTOENCODERS. (Under the direction of DR. MIN SHIN) Anomaly Detection in manufacturing environments is increasingly gaining popularity among companies ...
Anomaly Detection for Manufacturing Applications Using Convolutional Autoencoders
Title
Anomaly Detection for Manufacturing Applications Using Convolutional Autoencoders
Author
Zouar, Nourelislam
Date Created
2021
Subjects--Topical
Computer science
Description
ABSTRACTNOURELISLAM ZOUAR. ANOMALY DETECTION FOR MANUFACTURING APPLICATIONS USING CONVOLUTIONAL AUTOENCODERS. (Under the direction of DR. MIN SHIN) Anomaly Detection in manufacturing environments is increasingly gaining popularity among companies ...
Better modeling of matching possibilities and uncertainty for offline visual multiple object tracking
Title
Better modeling of matching possibilities and uncertainty for offline visual multiple object tracking
Author
Rice, Lance
Date Created
2021
Subjects--Topical
Computer science
Description
The task of visually tracking multiple objects remains an active field of algorithm development even after several decades of research in the computer vision community. One reason it remains an active research area is that identifying and maintain...
Fine-grained Video Classification for Rare Events
Title
Fine-grained Video Classification for Rare Events
Author
Shan, Junjie
Date Created
2018
Subjects--Topical
Computer science, Information technology
Description
Video analysis plays an important role in the field of computer vision and finds its application in many areas. Fine-grained event classification is one of the most challenging problems in video analysis due to subtle difference between classes an...
Reducing training effort in biological image classification
Title
Reducing training effort in biological image classification
Author
Nguyen, Nhat Rich
Date Created
2017
Subjects--Topical
Computer science
Description
To automatically classify biological images, machine learning techniques have been widely used to train the classifiers from labeled images. For a new category of biological object, a tedious and expensive labeling process is needed from a human e...
STRUCTURE-FROM-MOTION AND RGBD DEPTH FUSION
Title
STRUCTURE-FROM-MOTION AND RGBD DEPTH FUSION
Author
Chandra shekar, Akash
Date Created
2018
Subjects--Topical
Computer science, Robotics
Description
Abstract This article describes a technique to augment a typical RGBD sensor by integrating depth estimates obtained via Structure-from-Motion (SfM) with depth measurements from an RGBD sensor. Limitations in the RGBD depth sensing technology prev...
Using Occlusion to Track Multiple Objects with Similar Appearance
Title
Using Occlusion to Track Multiple Objects with Similar Appearance
Author
Fasciano, Thomas
Date Created
2015
Subjects--Topical
Computer science, Visual perception
Description
Multiple object tracking is a fundamental problem within computer vision and has a wide range of applications. Although well studied, it remains a difficult task especially in scenarios which contain many occluding and highly similar appearing obj...