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Showing result 26 - 30 of 217 essays matching the above criteria.

1. 26. 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 datavetenskap

   Author : Fredric Lundberg Andersson; [2022]
   Keywords : Machine learning; Computer vision; Visual tracking; Attentions; Tiny fast-moving object;

   Abstract : 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

3. 27. CatFish Project - Autonomy : Control System, Object Detection and Tracking for USVs

   University essay from

   Author : Michael Alexander Georg Forschlé; [2022]
   Keywords : ;

   Abstract : As a student project at Halmstad University, CatFish aims to make water quality measurement easier by the development of a set of cooperating measurement drones in and under water and up in the air. To minimize human effort during the operation of the CatFish system, the drones shall act autonomously to reach given sets of target coordinates on their own to fulfill desired measurement tasks on arrival. READ MORE

4. 28. Comparison of camera data types for AI tracking of humans in indoor combat training

   University essay from Jönköping University/JTH, Avdelningen för datavetenskap

   Author : Viktor Zenk; Willy Bach; [2022]
   Keywords : Artificial intelligence; Machine learning; Multiple object tracking; Object detection; NIR; Depth camera;

   Abstract : Multiple object tracking (MOT) can be an efficient tool for finding patterns in video monitoring data. In this thesis, we investigate which type of video data works best for MOT in an indoor combat training scenario. The three types of camera data evaluated are color data, near-infrared (NIR) data, and depth data. READ MORE

5. 29. Improving 3D Remote Guidance using Shared AR Spaces : Separating responsibility of tracking and rendering 3D AR‐objects

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Erik Mansén; [2022]
   Keywords : augmented reality; AR; mixed reality; MR; remote guidance; remote collaboration; video-mediated communication; telepresence;

   Abstract : Two common problems in Remote Guidance applications include the remote guides lack of direct control over their view into the worker’s physical environment and the difficulties that arise with trying to place virtual 3D objects in a real 3D environment,via a moving, shaky, 2D image.The first issue can be called a lack of remote spatial awareness, the guide can see only what the worker enables them to see. READ MORE

6. 30. Kalman filters as an enhancement to object tracking using YOLOv7

   University essay from KTH/Matematik (Avd.)

   Author : Axel Jernbäcker; [2022]
   Keywords : statistics; applied mathematics; machine learning; kalman filter; statistik; tillämpad matematik; maskinlärning; kalman filter;

   Abstract : In this paper we study continuous tracking of airplanes using object detection models, namely YOLOv7, combined with a Kalman filter. The tracking should be able to be done in real-time. The idea of combining Kalman filters with an object detection model comes from the lack of time-dependent context in models such as YOLOv7. READ MORE