Essays about: "Football Detection"

Showing result 1 - 5 of 18 essays containing the words Football Detection.

  1. 1. Football Trajectory Modeling Using Masked Autoencoders : Using Masked Autoencoder for Anomaly Detection and Correction for Football Trajectories

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

    Author : Sandra Tor; [2023]
    Keywords : Machine Learning; Autoencoders; Masked autoencoders; Time series; Trajectory modeling; Time series modeling; Anomaly detection; Anomaly correction; Football; Maskininlärning; Autoencoders; Maskerade autoencoders; Tidsserie; Banmodellering; Tidsseriemodellering; Avvikelsedetektering; Avvikelsekorrigering; Fotboll;

    Abstract : Football trajectory modeling is a powerful tool for predicting and evaluating the movement of a football and its dynamics. Masked autoencoders are scalable self-supervised learners used for representation learning of partially observable data. READ MORE

  3. 2. Graph Neural Networks for Events Detection in Football

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

    Author : Giovanni Castellano; [2023]
    Keywords : Machine Learning; Graph Neural Network; Recurrent Neural Network; Trajectory Data; Football; Events Detection; Maskininlärning; Graph Neural Network; Recurrent Neural Network; Bandata; fotboll; händelsedetektering;

    Abstract : Tracab’s optical tracking system allows to track the 2-dimensional trajectories of players and ball during a football game. Using this data it is possible to train machine learning models to identify events that happen during the match. READ MORE

  4. 3. Semi-Supervised Head Detection for Low Resolution Images

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

    Author : Annie Biby Rapheal; [2023]
    Keywords : Object detection; Semi Supervised Learning; Head detection; Objektdetektion; Semisupervised Learning; Huvuddetektion;

    Abstract : Object detection is a widely researched and applied field in computer vision. Deep learning models have successfully been used for object detection over the years. The performance of State of the art (SOTA) object detection deep learning models is dependent on the number of labeled images. READ MORE

  5. 4. Towards a Data-Driven Football Playbook

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Ágúst Pálmason Morthens; [2023]
    Keywords : Football analytics; Event data; Tracking data; Phases of play; Comprehensible features; Fotbollsanalys; Händelsedata; Spårningsdata; Spelfaser; Begripliga variabler;

    Abstract : At a competitive level, football teams often have multiple matches per week. Thus, time can be a limited resource for match analysts tasked with analysing the performance of their team and its opponents. Increased availability of data in the field offers possibilities to automate processes to save time. READ MORE

  6. 5. Automating Feature-Extraction for Camera Calibration Through Machine Learning and Computer Vision

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Elias Åkeborg; [2021]
    Keywords : Machine learning; Computer vision; Feature-extraction; Classification; Camera Calibration; DeepLab; U-Net; Ridge Detection; Sub-pixel optimization; Artificial Intelligence; Technology and Engineering;

    Abstract : Machine learning as a field has expanded in an explosive manner, with more companies interested in using the technology. One of these companies, Spiideo, uses Machine learning to automatically stream and record sports, highlighting key events - all automatically without a cameraman. READ MORE