Essays about: "person detection"
Showing result 31 - 35 of 106 essays containing the words person detection.
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31. Implementation And Evaluation Of Hit Registration In Networked First Person Shooters
University essay from Linköpings universitet/InformationskodningAbstract : Hit registration algorithms in First-Person Shooter games define how the server processes gunfire from clients. Network conditions, such as latency, cause a mismatch between the game worlds observed at the client and the server. READ MORE
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32. A comparison between LiF, Al2O3 and NaCl pellets for luminescence dosimetry based on clinical and laboratory measurements
University essay from Lunds universitet/SjukhusfysikerutbildningenAbstract : Radiation protection is of importance for the general public, patients and personnel in many different situations: rare accidents involving ionizing radiation, medical examinations or work tasks in the medical clinic or nuclear industry to name a few. Optimization in radiation protection and limitation of radiation doses are essential to prevent overexposure and for reducing negative health consequences. READ MORE
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33. TempScanner : An application to detect fever
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : This thesis describes how a solution can be built to detect human flu-like symptoms. Flu-like symptoms are important to detect to prevent Covid-19 [6]. As people are returning to work there is a need for a simple way of detecting flu-like symptoms to prevent the spread of Covid-19. READ MORE
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34. An Exploratory Study of Simple Fall and Activity Recognition Using mmWave
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. As smart appliances become more attractive, the demand from public consumers grows, and producers are in search of innovative technologies that may aid in the creation of smart homes. Current products may use screens and buttons, voice commands and motion detection to create an interactive experience for consumers. READ MORE
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35. Pedestrian Multiple Object Tracking Using Deep Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In this thesis, the aim is to examine the viability of Deep Neural Network (DNN) based Multi-Object Tracking approaches for tracking pedestrians. The tracking results are used for Autonomous Driver Assistance System (ADAS). The process of tracking multiple agents across video is termed as Multiple Object Tracking (MOT). READ MORE