Essays about: "spårning av flera objekt"
Showing result 1 - 5 of 10 essays containing the words spårning av flera objekt.
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1. 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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2. Feedback imaging of cellular dynamics with fluorescence microscopy
University essay from KTH/Tillämpad fysikAbstract : In biology, it is common to study cultured cells (in vitro) with fluorescence time-lapse microscopy. The cells are recorded for longer period of time and can later be viewed at an accelerated speed. During the acquisition some live cells tend to migrate. READ MORE
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3. Unsupervised multiple object tracking on video with no ego motion
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Multiple-object tracking is a task within the field of computer vision. As the name stated, the task consists of tracking multiple objects in the video, an algorithm that completes such task are called trackers. READ MORE
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4. Point Cloud Data Augmentation for 4D Panoptic Segmentation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 4D panoptic segmentation is an emerging topic in the field of autonomous driving, which jointly tackles 3D semantic segmentation, 3D instance segmentation, and 3D multi-object tracking based on point cloud data. However, the difficulty of collection limits the size of existing point cloud datasets. READ MORE
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5. Pedestrian Multiple Object Tracking in Real-Time
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Multiple object tracking (MOT) is the task of detecting multiple objects in a scene and associating detections over time to form tracks. It is essential for many scene understanding tasks like surveillance, robotics and autonomous driving. READ MORE