Essays about: "objektspårning"

Showing result 6 - 10 of 14 essays containing the word objektspårning.

  1. 6. 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. 7. Assisted Annotation of Sequential Image Data With CNN and Pixel Tracking

    University essay from KTH/Matematik (Avd.)

    Author : Jenny Chan; [2021]
    Keywords : Assistant annotation; Object detection; Object tracking; Sequential data; Assisterande annotering; Objectdetektering; Objektspårning; Sekventiell data;

    Abstract : In this master thesis, different neural networks have investigated annotating objects in video streams with partially annotated data as input. Annotation in this thesis is referring to bounding boxes around the targeted objects. READ MORE

  4. 8. Integration of a visual perception pipeline for object manipulation

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

    Author : Xiyu Shi; [2020]
    Keywords : System integration; Robotic grasping; Object tracking; System evaluation; Robot Operating System; Systemintegration; gripande av robotar; objektspårning; systemutvärdering; robotoperativsystem;

    Abstract : The integration of robotic modules is common both in industry and in academia, especially when it comes to robotic grasping and object tracking. However, there are usually two challenges in the integration process. READ MORE

  5. 9. Ball tracking algorithm for mobile devices

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

    Author : Kamil Rzechowski; [2020]
    Keywords : Object tracking; ball tracking; object tracking on mobile devices; object tracking on iPhone; SiameseFC tracker; convolutional neural networks for object tracking; JustFootball; Objektspårning; bollspårning; objektspårning på mobila enheter; objektspårning på iPhone; SiameseFC-tracker; konvolutionsneurala nätverk för objektspårning; JustFootball;

    Abstract : Object tracking seeks to determine the object size and location in the following video frames, given the appearance and location of the object in the first frame. The object tracking approaches can be divided into categories: online trained trackers and offline trained tracker. READ MORE

  6. 10. Monocular Depth Prediction in Deep Neural Networks

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

    Author : Guanqian Tang; [2019]
    Keywords : Convolutional neural networks; monocular depth prediction; ResNet; DenseNet; ; Konvolutional neurala nätverk; monokulär djupförutsägelse; ResNet; DenseNet; ;

    Abstract : With the development of artificial neural network (ANN), it has been introduced in more and more computer vision tasks. Convolutional neural networks (CNNs) are widely used in object detection, object tracking, and semantic segmentation, achieving great performance improvement than traditional algorithms. READ MORE