Search results
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Title
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A Beginning-to-End System for Efficiently Gathering Tracking Data on Multiple Targets
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Author
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Rice, Lance
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Date Created
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2016
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Subjects--Topical
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Computer science
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Description
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Multi-object tracking in video has the potential for broad applicability, from analyzing division-of-labor within biological networks such as insects, to surveillance and traffic monitoring. Despite any potential the field of multiple object track...
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Title
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Dynamic View Selection for Human Motion Analysis in Camera Networks
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Author
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Spurlock, Scott
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Date Created
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2015
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Description
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Automated human activity analysis for multi-camera networks requires algorithms that are both accurate and efficient for practical, real-time use. Current approaches face a trade-off between accuracy and speed, with the most accurate methods havin...
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Title
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Dynamic View Selection for Human Motion Analysis in Camera Networks
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Author
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Spurlock, Scott
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Date Created
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2015
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Subjects--Topical
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Computer science
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Description
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Automated human activity analysis for multi-camera networks requires algorithms that are both accurate and efficient for practical, real-time use. Current approaches face a trade-off between accuracy and speed, with the most accurate methods havin...
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Title
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Interactive Mining for Large-scale Neuro-Morphological Datasets
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Author
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Li, Zhongyu
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Date Created
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2018
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Description
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In this dissertation, we aim to investigate advanced methods for the computational analytics of large-scale neuro-morphological datasets, which can help neuroscientists interactively explore neurons in real-time. Particularly, we tackle the neuro-...
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Title
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Interactive Mining for Large-scale Neuro-Morphological Datasets
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Author
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Li, Zhongyu
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Date Created
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2018
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Subjects--Topical
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Computer science, Neurosciences, Biomedical engineering
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Description
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In this dissertation, we aim to investigate advanced methods for the computational analytics of large-scale neuro-morphological datasets, which can help neuroscientists interactively explore neurons in real-time. Particularly, we tackle the neuro-...
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Title
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Mixed-reality squad-coordination platform
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Author
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Mahfoud, Elias
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Date Created
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2016
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Description
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Coordination and situation awareness are amongst the most important aspects of collaborative emergency response for firefighters, police, military soldiers, and so forth. Generally, command centers are in charge of managing a team, typically using...
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Title
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Mixed-reality squad-coordination platform
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Author
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Mahfoud, Elias
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Date Created
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2016
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Subjects--Topical
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Computer science
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Description
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Coordination and situation awareness are amongst the most important aspects of collaborative emergency response for firefighters, police, military soldiers, and so forth. Generally, command centers are in charge of managing a team, typically using...
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Title
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Using Occlusion to Track Multiple Objects with Similar Appearance
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Author
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Fasciano, Thomas
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Date Created
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2015
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Description
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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...
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Title
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Using Occlusion to Track Multiple Objects with Similar Appearance
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Author
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Fasciano, Thomas
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Date Created
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2015
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Subjects--Topical
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Computer science, Visual perception
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Description
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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...
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Title
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Weakly Supervised Learning on Image Manifolds
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Author
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Wu, Hui
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Date Created
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2015
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Description
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Recent work in image manifold learning has shown the prevalence of unsupervised methods that provide compact representation and perceptually meaningful organization of images in certain types of natural image sets. However, in situations where a d...
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Title
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Weakly Supervised Learning on Image Manifolds
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Author
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Wu, Hui
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Date Created
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2015
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Description
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Recent work in image manifold learning has shown the prevalence of unsupervised methods that provide compact representation and perceptually meaningful organization of images in certain types of natural image sets. However, in situations where a d...
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Title
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Weakly Supervised Learning on Image Manifolds
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Author
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Wu, Hui
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Date Created
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2015
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Subjects--Topical
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Computer science
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Description
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Recent work in image manifold learning has shown the prevalence of unsupervised methods that provide compact representation and perceptually meaningful organization of images in certain types of natural image sets. However, in situations where a d...
