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Skip to Search Results- 19Ray, Nilanjan (Computing Science)
- 5Zhang, Hong (Computing Science)
- 1Boulanger, Pierre (Computing Science)
- 1Erbilgin, Nadir (Renewable Resources)
- 1Schubert, Matthias (Institute for Informatic, Ludwig-Maximilians-Universität München)
- 1Tennant, Matthew (Medicine)
- 1Aziz, Muhammad Usman
- 1Bahri, Fateme
- 1Elkerdawy, Sara
- 1Foroughi, Homa
- 1Guruprasad, Namitha
- 1Kapil, Rudraksh
- 4Computer Vision
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- 2Object detection
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Moving Object Detection Using Unsupervised and Weakly Supervised Neural Networks in Videos with Illumination Changes and Dynamic Background
DownloadFall 2023
Background subtraction is a crucial task in computer vision applications, such as video surveillance, traffic monitoring, autonomous navigation, and human-computer interaction. This approach involves acquiring a background model to separate moving objects and the background from an input image....
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Fall 2022
Deep neural networks (DNN) have emerged as the state-of-the-art method in several research areas. DNN is yet to fully permeate resource-constrained computing platforms, such as mobile phones. Accurate DNN models being deeper and wider take considerable memory and time to execute on small devices...
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Spring 2015
There is considerable research work going on segmentation of RGB-D clouds due its applications in tasks like scene understanding, robotics etc. The availability of inexpensive and easy to use RGB-D cameras and computational capabilities of GPUs has lead to development of numerous applications in...
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Fall 2015
Free Viewpoint Video and TV is regarded as the future of digital entertainment allowing users to navigate through multiple video streams of an event to select novel viewpoints. This new capability will be able to give to the users the illusion that they are present at the event. In this thesis,...
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Fall 2011
For the last two decades “active contour” or “snake” has been effective as an interactive image segmentation tool in a wide range of applications, especially for blob-object delineation. In the interactive snake segmentation process, a user draws a rough object outline; next, a cost function is...
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Tiny Object Detection in Remote Sensing Images: End-to-End Super-Resolution and Object Detection with Deep Learning
DownloadFall 2020
In this thesis, we study the problem of detecting small objects on low-resolution (LR) satellite imagery. Small-object detection is a challenging problem, especially from LR images. To tackle the challenge, we propose a method to generate super-resolution images from low-resolution images and...
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Fall 2014
This thesis is concerned with the ultrasonic heart image segmentation problem using parametric active contour model. Most of the existing parametric models consider only either the edge or the regional information. In this thesis, we propose a new parametric active contour model considering both...
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Fall 2021
Ponnamperuma Arachchige, Ayantha Randika
Optical character recognition (OCR) is a widely used pattern recognition application in numerous domains. Several feature-rich commercial OCR solutions and opensource OCR solutions are available for consumers, which can provide moderate to excellent accuracy levels. These solutions are...
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Fall 2023
The recognition performance of Optical Character Recognition (OCR) models can be sub-optimal when document images suffer from various degradations. Supervised learning-based methods for image enhancement can generate high-quality enhanced images. However, these methods require the availability of...