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Full-Text Articles in Engineering
Person Identification With Convolutional Neural Networks, Kang Zheng
Person Identification With Convolutional Neural Networks, Kang Zheng
Theses and Dissertations
Person identification aims at matching persons across images or videos captured by different cameras, without requiring the presence of persons’ faces. It is an important problem in computer vision community and has many important real-world applica- tions, such as person search, security surveillance, and no-checkout stores. However, this problem is very challenging due to various factors, such as illumination varia- tion, view changes, human pose deformation, and occlusion. Traditional approaches generally focus on hand-crafting features and/or learning distance metrics for match- ing to tackle these challenges. With Convolutional Neural Networks (CNNs), feature extraction and metric learning can be combined in …
Classification Of Vegetation In Aerial Imagery Via Neural Network, Gevand Balayan
Classification Of Vegetation In Aerial Imagery Via Neural Network, Gevand Balayan
UNLV Theses, Dissertations, Professional Papers, and Capstones
This thesis focuses on the task of trying to find a Neural Network that is best suited for identifying vegetation from aerial imagery. The goal is to find a way to quickly classify items in an image as highly likely to be vegetation(trees, grass, bushes and shrubs) and then interpolate that data and use it to mark sections of an image as vegetation. This has practical applications as well. The main motivation of this work came from the effort that our town takes in conserving water. By creating an AI that can easily recognize plants, we can better monitor the …