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Showing result 1 - 5 of 55 essays matching the above criteria.

1. 1. A Comparison Between KeyFrame Extraction Methods for Clothing Recognition

   University essay from Uppsala universitet/Datalogi

   Author : Gabriel Lindgren; [2023]
   Keywords : key frame extraction; video analyzis; yolo; yolov7; optical flow; nyckelbildutvinning; videoanalys; yolo; yolov7; optiskt flöde;

   Abstract : With an ever so high video consumption, applications and services need to use smart approaches to make the experience better for their users. By using key frames from a video, useful information can be retrieved regarding the entire video, and used for better explaining the content. READ MORE

3. 2. Analyzing different approaches to Visual SLAM in dynamic environments : A comparative study with focus on strengths and weaknesses

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Kristín Sól Ólafsdóttir; [2023]
   Keywords : Visual SLAM; RGB-D Vision; Dynamic Objects; Object Detection; Multi-Object Tracking; Image Segmentation; Optical Flow; Visual SLAM; RGB-D Syn; Dynamiska objekt; Objektdetektering; Multi-Objekt Spårning; Bildsegmentation; Optiskt Flöde;

   Abstract : Simultaneous Localization and Mapping (SLAM) is the crucial ability for many autonomous systems to operate in unknown environments. In recent years SLAM development has focused on achieving robustness regarding the challenges the field still faces e.g. dynamic environments. READ MORE

4. 3. Precipitation Nowcasting using Deep Neural Networks

   University essay from KTH/Fysik

   Author : Valter Fallenius; [2022]
   Keywords : Deep Neura Networks; Artificial Intelligence; Meteorology; Precipitationa Nowcasting; Djupa neurala nätverk; artificiell intelligens; nederbördsprognoser; meteorologi;

   Abstract : Deep neural networks (DNNs) based on satellite and radar data have shown promising results for precipitation nowcasting, beating physical models and optical flow for time horizons up to 8 hours. “MetNet”, developed by Google AI, is a 225 million parameter DNN combining three different types of architectures that was trained on satellite and radar data over the United States. READ MORE

5. 4. Automatic Calibration of Camera Parameters : A Steppingstone to Analysing Videos

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Wilma Hallén; [2022]
   Keywords : Smartphone; Video stabilisation; Calibration;

   Abstract : The smartphone is commonly used for image and video capture. Due to the lightweight of the smartphone, small handshakes are noticeable in recorded videos. The image sensors in smartphones are typically CMOS, which introduces rolling shutter artefacts. Stabilisation is introduced to minimise the effects of the camera movement and artefacts. READ MORE

6. 5. Using Optical Flow to provide robustness for animage sensor based multiangulation positioning system

   University essay from KTH/Maskinkonstruktion (Inst.)

   Author : Fredrik Anderson; [2022]
   Keywords : ;

   Abstract : The use of image sensors in positioning systems has increased significantly the last years, spanning from complex SLAM-systems to simpler triangulation based methods. In the latter case, occlusion of anchor points may render the triangulation unsolvable, and any practical implementation must address this problem. READ MORE