Essays about: "Pose estimation"

Showing result 11 - 15 of 120 essays containing the words Pose estimation.

1. 11. Feasibility of Mobile Phone-Based 2D Human Pose Estimation for Golf : An analysis of the golf swing focusing on selected joint angles

   University essay from KTH/Medicinteknik och hälsosystem

   Author : Elisa Perini; [2023]
   Keywords : Golf; Human Pose Estimation; Sports Analytics; Computer Vision; Golf; Mänsklig Poseuppskattning; Sportanalys; Datorseende;

   Abstract : Golf is a sport where the correct technical execution is important for performance and injury prevention. The existing feedback systems are often cumbersome and not readily available to recreational players. To address this issue, this thesis explores the potential of using 2D Human Pose Estimation as a mobile phone-based swing analysis tool. READ MORE

3. 12. Through the Blur with Deep Learning : A Comparative Study Assessing Robustness in Visual Odometry Techniques

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Alexander Berglund; [2023]
   Keywords : artificial intelligence; AI; machine learning; ML; deep learning; DL; computer vision; neural networks; NN; convolutional neural networks; CNN; visual odometry; VO; robustness; motion blur; AirForestry; localization; navigation; ego-motion; pose estimation; SLAM; DF-VO; DytanVO; ORB-SLAM3; artificiell intelligens; maskininlärning; datorseende;

   Abstract : In this thesis, the robustness of deep learning techniques in the field of visual odometry is investigated, with a specific focus on the impact of motion blur. A comparative study is conducted, evaluating the performance of state-of-the-art deep convolutional neural network methods, namely DF-VO and DytanVO, against ORB-SLAM3, a well-established non-deep-learning technique for visual simultaneous localization and mapping. READ MORE

4. 13. Optimization-Based Path Planning For Indoor UAVs in an Autonomous Exploration Framework

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

   Author : Marco Cella; [2023]
   Keywords : Optimal Path Planning; B-Splines; Autonomous Exploration; Indoor UAV; Crisis and Disaster Management; Trajectory Estimation; SITL; Optimal Banplanering; B-Splines; Autonom Utforskning; Inomhus-UAV; Kris- och Katastrofhantering; Uppskattning av Banor; SITL;

   Abstract : Exploration is a fundamental problem in robotics that requires robots to navigate through unknown environments to autonomously gather information about their surroundings while executing collision-free paths. In this project, we propose a method for producing smooth paths during the exploration process in indoor environments using UAVs to improve battery efficiency and enhance the quality of pose estimation. READ MORE

5. 14. Dense Foot Pose Estimation From Images

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

   Author : Sharif Sharif; [2023]
   Keywords : Dense Foot Pose Estimation; Computer vision; Deep Learning; Dense Correspondence; Uppskattning Av Tät Fotställning; Datorseende; Djupinlärning; Tät Korrespondens;

   Abstract : There is ongoing research into building dense correspondence between digital images of objects in the world and estimating the 3D pose of these objects. This is a difficult area to conduct research due to the lack of availability of annotated data. Annotating each pixel is too time-consuming. READ MORE

6. 15. 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