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Showing result 1 - 5 of 13 essays matching the above criteria.
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1. Synthesizing Training Data for Object Detection Using Generative Adversarial Networks
University essay from Lunds universitet/Matematik LTHAbstract : Object detection is an important tool in computer vision and a popular application of machine learning. One of the main challenges in object detection, and machine learning in general, is acquiring sufficient training data. READ MORE
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2. Detecting Sitting People : Image classification on a small device to detect sitting people in real-time video
University essay from Mittuniversitetet/Avdelningen för informationssystem och -teknologiAbstract : The area of computer vision has been making big improvements in the latest decades, equally so has the area of electronics and small computers improved. These areas together have made it more available to build small, standalone systems for object detection in live video. This project's main objective is to examine whether a small device, e.g. READ MORE
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3. Implementation of an object-detection algorithm on a CPU+GPU target
University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)Abstract : Systems like autonomous vehicles may require real time embedded image processing under hardware constraints. This paper provides directions to design time and resource efficient Haar cascade detection algorithms. It also reviews some software architecture and hardware aspects. READ MORE
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4. Automatic Detection of Anatomical Landmarks in Three-Dimensional MRI
University essay from Linköpings universitet/DatorseendeAbstract : Detection and positioning of anatomical landmarks, also called points of interest(POI), is often a concept of interest in medical image processing. Different measures or automatic image analyzes are often directly based upon positions of such points, e.g. in organ segmentation or tissue quantification. READ MORE
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5. Machine Learning : for Barcode Detection and OCR
University essay from Linköpings universitet/Datorseende; Linköpings universitet/Tekniska fakultetenAbstract : Machine learning can be utilized in many different ways in the field of automatic manufacturing and logistics. In this thesis supervised machine learning have been utilized to train a classifiers for detection and recognition of objects in images. The techniques AdaBoost and Random forest have been examined, both are based on decision trees. READ MORE