Essays about: "object tracking thesis"
Showing result 1 - 5 of 137 essays containing the words object tracking thesis.
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1. Methods for Developing TinyConvolutional Neural Networksfor Deployment on EmbeddedSystems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : 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
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2. Dasty : Revealing Real-World Prototype Pollution Consequences with Dynamic Taint Analysis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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3. Server-side factor graph optimization for on-manifold pre-integration in IoT sensors
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : 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
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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)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
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5. Drone Detection using Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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