Essays about: "thesis for object tracking"

Showing result 1 - 5 of 126 essays containing the words thesis for object tracking.

1. 1. Methods for Developing TinyConvolutional Neural Networksfor Deployment on EmbeddedSystems

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Egemen Yiğit Kömürcü; [2023]
   Keywords : ;

   Abstract : With the recent development in the Deep Learning area, computationally heavy tasks like object detection in images have become easier to compute and take less time to execute with powerful GPUs. Also, when employing sufficiently larger models, these daily tasks are predicted with greater accuracy. READ MORE

3. 2. Dasty : Revealing Real-World Prototype Pollution Consequences with Dynamic Taint Analysis

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

   Author : Paul Moosbrugger; [2023]
   Keywords : Prototype Pollution Gadgets; Dynamic Taint Analysis; Forced Branch Execution; NodeProf Instrumentation; Truffle GraalJS;

   Abstract : Prototype pollution is a vulnerability in JavaScript and other prototype-based languages that allows malicious actors to inject a property into an object’s prototype. The injected property can subsequently trigger gadgets - source code sections that use the properties in sensitive locations. READ MORE

4. 3. Server-side factor graph optimization for on-manifold pre-integration in IoT sensors

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Samuel Gradén; [2023]
   Keywords : Edge computing; IoT; optimization; tracking; drone;

   Abstract : State and specifically location estimation is a core concept in automation and is a well-researched field. One such estimation technique is Moving Horizon Estimation (MHE). In this thesis, the MHE variant single-shooting estimation will estimate the location and velocity of a moving object. READ MORE

5. 4. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

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

   Author : Shihang Zhou; [2023]
   Keywords : Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

   Abstract : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. READ MORE

6. 5. Drone Detection using Deep Learning

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

   Author : Yating Liu; [2023]
   Keywords : Drone Detection; Real-time Tracking; Deep Learning; Computer Vision; Small Object Detection; YOLO; Drönardetektering; Realtidsspårning; Deep Learning; Computer Vision; Small Object Detection; YOLO;

   Abstract : Drone intrusions have been reported more frequently these years as drones become more accessible in the market. The abuse of drones puts threats to public and individual safety and privacy. Traditional anti-drone systems use radio-frequency sensors widely to get the position of drones. READ MORE