Sökning: "Multiple Object Tracking"
Visar resultat 1 - 5 av 38 uppsatser innehållade orden Multiple Object Tracking.
1. Dasty : Revealing Real-World Prototype Pollution Consequences with Dynamic Taint Analysis
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
2. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. LÄS MER
3. Efficient CNN-based Object IDAssociation Model for Multiple ObjectTracking
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : .... LÄS MER
4. PTZ Handover: Tracking an object across multiple surveillance cameras
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : Tracking objects in a scene is a crucial task in accomplishing surveillance that enhances security and provides valuable information about the events happening at the site. For this task, the PTZ (pan-tilt-zoom) cameras can be utilized to achieve fluid tracking as they provide all-around surveillance with zoom capabilities. LÄS MER
5. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER