Master Thesis

Development of feature based smart virtual sensors

Open-source: Github repo

This thesis proposes an application of convolutional feature points as smart virtual sensors. The feature descriptors are formed using the feature maps of one of the layers of a VGG-16 network pre-trained on ImageNet. From the extracted and matched features, information is obtained from each of them to create a dataset that describes the sequence of frames under consideration.