Essays about: "color tracking"
Showing result 1 - 5 of 29 essays containing the words color tracking.
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1. Evaluating the Performance of a Solar Thermal Field: A Case Study with Proposed Improvements
University essay from Lunds universitet/Institutionen för energivetenskaperAbstract : Given the urgency of climate change, alternative energy sources, and policy strategies are needed to reach the net-zero emission goals and halt global warming. Solar thermal energy is a renewable and abundant energy source that could be a part of the solution. READ MORE
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2. Assessing Visual Attention Methods in Video Games : A Comparative Study of Effectiveness and Colorblind Accessibility
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknikAbstract : Background. Visual attention in video games is a relatively underdeveloped field, especially so when it comes to colorblind accessibility. According to recent research, there is an increased social demand for options to alleviate problems colorblind individuals experience in video games. READ MORE
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3. Real Time Vehicle Detection for Intelligent Transportation Systems
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This thesis aims to analyze how object detectors perform under winter weather conditions, specifically in areas with varying degrees of snow cover. The investigation will evaluate the effectiveness of commonly used object detection methods in identifying vehicles in snowy environments, including YOLO v8, Yolo v5, and Faster R-CNN. READ MORE
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4. Comparison of camera data types for AI tracking of humans in indoor combat training
University essay from Jönköping University/JTH, Avdelningen för datavetenskapAbstract : Multiple object tracking (MOT) can be an efficient tool for finding patterns in video monitoring data. In this thesis, we investigate which type of video data works best for MOT in an indoor combat training scenario. The three types of camera data evaluated are color data, near-infrared (NIR) data, and depth data. READ MORE
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5. Detecting and comparing Kanban boards using Computer Vision
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis investigates the problem of detecting and tracking sticky notes on Kanban boards using classical computer vision techniques. Currently, there exists some alternatives for digitizing sticky notes, but none keep track of notes that have already been digitized, allowing for duplicate notes to be created when scanning multiple images of the same Kanban board. READ MORE