Essays about: "tracking moving objects"
Showing result 1 - 5 of 45 essays containing the words tracking moving objects.
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1. 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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2. PTZ Handover: Tracking an object across multiple surveillance cameras
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : 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. READ MORE
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3. Arbitrary motion Synthetic Aperture Radar
University essay from Lunds universitet/Matematisk statistikAbstract : Syftet med denna avhandling är att utveckla en ny metod för att producera bilder med syntetisk aperturradar (SAR), med utgångspunkt i scenarier med arbiträr rörelse vad gäller radarsensorn. SAR är en väletablerad metod för att skapa 2- eller 3-dimensionella radarbilder, som traditionellt sett antar att radar-sensorns rörelse är linjär och förutsägbar. READ MORE
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4. Automatic object detection and tracking for eye-tracking analysis
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : In recent years, eye-tracking technology has gained considerable attention, facilitating analysis of gaze behavior and human visual attention. However, eye-tracking analysis often requires manual annotation on the objects being gazed upon, making quantitative data analysis a difficult and time-consuming process. READ MORE
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5. AATrackT: A deep learning network using attentions for tracking fast-moving and tiny objects : (A)ttention (A)ugmented - (Track)ing on (T)iny objects
University essay from Jönköping University/JTH, Avdelningen för datavetenskapAbstract : Recent advances in deep learning have made it possible to visually track objects from a video sequence. Moreover, as transformers got introduced in computer vision, new state-of-the-art performances were achieved in visual tracking. READ MORE