Essays about: "Person Re-Identification"

Showing result 1 - 5 of 11 essays containing the words Person Re-Identification.

  1. 1. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization

    University essay from Lunds universitet/Matematik LTH

    Author : Björn Elwin; Anton Fredriksson; [2023]
    Keywords : Mathematics and Statistics;

    Abstract : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. READ MORE

  2. 2. Monitoring Activity Patterns In The Linnaean Botanical Gardens

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Dianeswarr Shanmuga Sundaram; [2023]
    Keywords : ;

    Abstract : The thesis aims at investigating and identifying people in two camera views as the same person and to establish communication, where two cameras will be placed in the different angle in Linnean Botanical Garden and the video is sent to the central station (PC). Then person-tracking and re-identification algorithms will be applied to track and identify whether it is the same person in the different camera views. READ MORE

  3. 3. OSPREY: Person Re-Identification in the sport of Padel : Utilizing One-Shot Person Re-identification with locally aware transformers to improve tracking

    University essay from Jönköping University/Jönköping AI Lab (JAIL)

    Author : Måns Svensson; Jim Hult; [2022]
    Keywords : AI; Person Re-identification; Re-id; Transformer; Padel; Computer Vision; Transfer-learning; Deep Learning;

    Abstract : This thesis is concerned with the topic of person re-identification. Many tracking algorithms today cannot keep track of players reentering the scene from different angles and times. Therefore, in this thesis, current literature is explored to gather information about the topic, and a current state-of-the-art model is tested. READ MORE

  4. 4. Pedestrian Multiple Object Tracking in Real-Time

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

    Author : Samuel Wintzell; [2022]
    Keywords : Computer Vision; Deep Learning; Multiple Object Tracking; Object Detection; Person Re-identification; Datorseende; Djupinlärning; Spårning av Flera Objekt; Objektdetektering; Personidentifiering;

    Abstract : Multiple object tracking (MOT) is the task of detecting multiple objects in a scene and associating detections over time to form tracks. It is essential for many scene understanding tasks like surveillance, robotics and autonomous driving. READ MORE

  5. 5. Pedestrian Tracking by using Deep Neural Networks

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

    Author : Zeng Peng; [2021]
    Keywords : Deep Learning; Computer Vision; Multiple Object Tracking; Person Re- Identification; Object Detection;

    Abstract : This project aims at using deep learning to solve the pedestrian tracking problem for Autonomous driving usage. The research area is in the domain of computer vision and deep learning. Multi-Object Tracking (MOT) aims at tracking multiple targets simultaneously in a video data. READ MORE