Essays about: "Object Detection"

Showing result 1 - 5 of 241 essays containing the words Object Detection.

  1. 1. Deep Neural Network Compression for Object Detection and Uncertainty Quantification

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Mohammad Ahraz Asif; Georgios Tzelepis; [2019-11-21]
    Keywords : Deep Learning; Model Compression; Knowledge Distillation; Bayesian Deep Learning; Object Detection;

    Abstract : Neural networks have been notorious for being computational expensive. Their demand for hardware resources prohibits their extensive use in embedded devices and puts restrictions on tasks like real time tracking. READ MORE

  2. 2. Object Detection in Object Tracking System for Mobile Robot Application

    University essay from KTH/Matematisk statistik

    Author : Alessandro Foa'; [2019]
    Keywords : ;

    Abstract : This thesis work takes place at the Emerging Technologies department of Volvo Construction Equipment(CE), in the context of a larger project which involves several students. The focus is a mobile robot built by Volvo for testing some AI features such as Decision Making, Natural Language Processing, Speech Recognition, Object Detection. READ MORE

  3. 3. Region Proposal Based Object Detectors Integrated With an Extended Kalman Filter for a Robust Detect-Tracking Algorithm

    University essay from Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Author : Gabriel Khajo; [2019]
    Keywords : Object Detection; Extended Kalman Filter; Tracking;

    Abstract : In this thesis we present a detect-tracking algorithm (see figure 3.1) that combines the detection robustness of static region proposal based object detectors, like the faster region convolutional neural network (R-CNN) and the region-based fully convolutional networks (R-FCN) model, with the tracking prediction strength of extended Kalman filters, by using, what we have called, a translating and non-rigid user input region of interest (RoI-) mapping. READ MORE

  4. 4. Instance-level Object Detection of Grocery Store items using R-CNN:s

    University essay from Lunds universitet/Matematik LTH

    Author : Erik Rydén; [2019]
    Keywords : Image analysis; simulation; r-cnn; Mathematics and Statistics;

    Abstract : Currently, the best ways to perform object detection in an image is to use a neural network trained on large sets of annotated data. However, in certain environments, the number of objects is large and gathering a sufficiently big set of annotated data is prohibitively expensive. READ MORE

  5. 5. A Client-Server Solution for Detecting Guns in School Environment using Deep Learning Techniques

    University essay from Linköpings universitet/Medie- och InformationsteknikLinköpings universitet/Tekniska fakulteten

    Author : Johan Olsson; [2019]
    Keywords : machine learning; gun detection; tensorflow; server; client; training; school shootings; school environment; gun control; SSD; RetinaNet; transfer learning; AI; surveillance; IP; network; camera; Axis; Communications;

    Abstract : With the progress of deep learning methods the last couple of years, object detection related tasks are improving rapidly. Using object detection for detecting guns in schools remove the need for human supervision and hopefully reduces police response time. READ MORE