Essays about: "tracking performance"

Showing result 1 - 5 of 398 essays containing the words tracking performance.

  1. 1. AATrackT: A deep learning network using attentions for tracking fast-moving and tiny objects : (A)ttention (A)ugmented - (Track)ing on (T)iny objects

    University essay from Jönköping University/JTH, Avdelningen för datavetenskap

    Author : Fredric Lundberg Andersson; [2022]
    Keywords : Machine learning; Computer vision; Visual tracking; Attentions; Tiny fast-moving object;

    Abstract : Recent advances in deep learning have made it possible to visually track objects from a video sequence. Moreover, as transformers got introduced in computer vision, new state-of-the-art performances were achieved in visual tracking. READ MORE

  3. 2. Evaluating Generated Co-Speech Gestures of Embodied Conversational Agent(ECA) through Real-Time Interaction

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

    Author : Yuan He; [2022]
    Keywords : Embodied Conversational Agent ECA ; User Study; Evaluation Instrument; Gesture Generation; Gaze-tracking; Förkroppsligad konversationsagent ECA ; Användarstudie; Utvärderingsinstrument; Generering av gester; Spårning av blickar;

    Abstract : Embodied Conversational Agents (ECAs)’ gestures can enhance human perception in many dimensions during interactions. In recent years, data-driven gesture generation approaches for ECAs have attracted considerable research attention and effort, and methods have been continuously optimized. READ MORE

  4. 3. Deep Reinforcement Learning Approach to Portfolio Optimization

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Lorik Sadriu; [2022]
    Keywords : Deep Reinforcement Learning; Portfolio Optimization; Portfolio performance; EMH; Business and Economics;

    Abstract : This paper evaluates whether a deep reinforcement learning (DRL) approach can be implemented, on the Swedish stock market, to optimize a portfolio. The objective is to create and train two DRL algorithms that can construct portfolios that will be benchmarked against the market portfolio, tracking OMXS30, and the two conventional methods, the naive portfolio, and minimum variance portfolio. READ MORE

  5. 4. Comparison of camera data types for AI tracking of humans in indoor combat training

    University essay from Jönköping University/JTH, Avdelningen för datavetenskap

    Author : Viktor Zenk; Willy Bach; [2022]
    Keywords : Artificial intelligence; Machine learning; Multiple object tracking; Object detection; NIR; Depth camera;

    Abstract : 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

  6. 5. Ultrasound Imaging Velocimetry using Polyvinyl Alcohol Shelled Microbubbles

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Ida Johansson; [2022]
    Keywords : Ultrasound imaging velocimetry; ultrasound contrast agents; polyvinyl alcohol; microbubbles; echo particle image velocimetry; Ultrasound imaging velocimetry; ultraljudskontrastmedel; polyvinylalkohol; mikrobubblor; echo particle image velocimetry;

    Abstract : Current research within the field of ultrasound contrast agents (UCAs) aims at developing capsules which are not only acoustically active, but also have a chemically modifiable surface. This enables use in new areas, including targeted drug delivery and theranostics. READ MORE