Essays about: "multiple object tracking"

Showing result 11 - 15 of 36 essays containing the words multiple object tracking.

  1. 11. 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

  3. 12. Ghost target classification using scene models in radar

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Anton Sedin; David Wadmark; [2021]
    Keywords : Technology and Engineering;

    Abstract : In surveillance contexts, radars can be used to monitor an area, detecting and tracking moving objects inside it. Monitored areas in urban environments often contain many surfaces that reflect radar waves, which can have the undesired consequence of a single object producing multiple tracks due to multipath propagation effects. READ MORE

  4. 13. Pedestrian Multiple Object Tracking  Using Deep Learning

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Uvais Karni Mohideen Meera Sha; [2021]
    Keywords : ;

    Abstract : In this thesis, the aim is to examine the viability of Deep Neural  Network (DNN) based Multi-Object Tracking approaches for tracking  pedestrians. The tracking results are used for Autonomous Driver Assistance System (ADAS). The process of tracking multiple agents  across video is termed as Multiple Object Tracking (MOT). READ MORE

  5. 14. Influential Learning : Knowledge Sharing between Artificial Neural Networks for Autonomous Vehicles

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

    Author : Jonny Sparrenhök; [2021]
    Keywords : ;

    Abstract : Autonomous vehicles may be a part of our future no matter if we like it or not. The technology developed for self-driving have already outperformed humans in multiple aspects but involves systems that are prone to failure. READ MORE

  6. 15. Ghost target classification using scene models in radar

    University essay from Lunds universitet/Matematisk statistik

    Author : David Wadmark; Anton Sedin; [2021]
    Keywords : radar surveillance; multipath; machine learning; classification; Mathematics and Statistics;

    Abstract : In surveillance contexts, radars can be used to monitor an area, detecting and tracking moving objects inside it. Monitored areas in urban environments often contain many surfaces that reflect radar waves, which can have the undesired consequence of a single object producing multiple tracks due to multipath propagation effects. READ MORE