Essays about: "Human Pose Estimation"
Showing result 16 - 20 of 28 essays containing the words Human Pose Estimation.
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16. Full-Joint Oriented Weight Masks for Balancing Loss in 2D Human Pose Estimation
University essay from Lunds universitet/Institutionen för datavetenskapAbstract : .... READ MORE
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17. 3D Human Pose and Shape-aware Modelling
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The focus of this thesis is the task of 3D pose estimation while taking into consideration the shape of a person in a single image. For rendering the human pose and the body shape we use a newly proposed statistical model, the SMPL [1]. We train a neural network to estimate the shape and the pose of a person in an image. READ MORE
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18. Real Time Gym Activity Detection using Monocular RGB Camera
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Action detection is an attractive area for researchers in computer vision, healthcare, physiotherapy, psychology, and others. Intensive work has been done in this area due to its wide range of applications such as security surveillance, video tagging, Human-Computer Interaction (HCI), robotics, medical diagnosis, sports analysis, interactive gaming, and many others. READ MORE
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19. Robust Localization of Research Concept Vehicle (RCV) in Large Scale Environment
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Autonomous vehicles in the recent era are robust vehicles that have the capability to drive themselves without human involvement using sensors and Simultaneous Localization and Mapping algorithms, which helps the vehicle gain an understanding of its environment while driving with the help of laser scanners (Velodyne), IMU and GPS to collect data and solidify the foundation for locating itself in an unknown environment. Various methods were studied and have been tested for increasing the efficiency of registration and optimization over the years but the implementation of the NDT library for mapping and localization have been found to be fast and more accurate as compared to conventional methods. READ MORE
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20. Reinforcement learning for robotic manipulation
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Reinforcement learning was recently successfully used for real-world robotic manipulation tasks, without the need for human demonstration, usinga normalized advantage function-algorithm (NAF). Limitations on the shape of the advantage function however poses doubts to what kind of policies can be learned using this method. READ MORE
