Essays about: "convolutional neural networks for object tracking"

Showing result 1 - 5 of 9 essays containing the words convolutional neural networks for object tracking.

  1. 1. Deep Learning for estimation of fingertip location in 3-dimensional point clouds : An investigation of deep learning models for estimating fingertips in a 3D point cloud and its predictive uncertainty

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Phillip Hölscher; [2021]
    Keywords : Deep Learning; Point Cloud; Hand Pose Estimation; Fingertip Localization; Model Uncertainty;

    Abstract : Sensor technology is rapidly developing and, consequently, the generation of point cloud data is constantly increasing. Since the recent release of PointNet, it is possible to process this unordered 3-dimensional data directly in a neural network. READ MORE

  3. 2. 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

  4. 3. 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

  5. 4. Generic Object Tracking with NVIDIA Jetson Nano Using Siamese Convolutional Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Alexander Selberg; [2020]
    Keywords : Convolutional Neural Networks; Deep Learning; Object Tracking; Machine Learning; Technology and Engineering;

    Abstract : In this thesis, a generic object tracker was constructed that was applied to both a commonly used tracking dataset using a regular computer as well as a robot powered by a small NVIDIA computer. The architecture of the tracker consisted of two parallel convolutional neural networks convolving to a single output. READ MORE

  6. 5. Deep Learning Pupil Center Localization

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

    Author : Johannes Deselaers; [2020]
    Keywords : ;

    Abstract : This project strives to achieve high performance object localization with Convolutional Neural Networks (CNNs) - in particular for pupil centers in the context of remote eye tracking systems. Three different network architectures suitable to the task are developed, evaluated and compared - one based on regression using fully connected layers, one Fully Convolutional Network and one Deconvolutional Network. READ MORE