Essays about: "computer vision"

Showing result 1 - 5 of 666 essays containing the words computer vision.

  1. 1. Smart Scooter : Solving e-scooter safety problems with multi-modal, privacy-preserving sensor technology and machine learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Beatrice Lovely; [2022]
    Keywords : Smart Devices; Machine Learning; Sensors; Radar; Inertial Measurement Unit; Computer Vision; Smarta Saker; Maskininlärning; Sensorer; Radar; Tröghetsmåttenhet; Dator- seende;

    Abstract : Micromobility ride-share scooters (e-scooters) have become a popular mode of transport in several major cities around the world, yet several safety and accessibility issues stem from how these scooters are operated, including sidewalk riding, unsafe parking and wrong-way riding. This thesis tackles these issues through a novel, privacy-preserving, end-to-end sensor system that employs lightweight machine learning models to provide real-time feedback to users to present unsafe scooter operation. READ MORE

  2. 2. 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. 3. Analysis and Evaluation ofVisuospatial Complexity Models

    University essay from Örebro universitet/Institutionen för naturvetenskap och teknik

    Author : Bashar Hammami; Mjed Afram; [2022]
    Keywords : Complexity; Visual Complexity; Visuospatial Complexity; Strauctural Similarity Index Measurement; SSIM; Visual Clutter; Feature Congestion; Subband Entropy;

    Abstract : Visuospatial complexity refers to the level of detail or intricacy present within a scene, takinginto account both spatial and visual properties of the dynamic scene or the place (e.g.moving images, everyday driving, video games and other immersive media). There havebeen several studies on measuring visual complexity from various viewpoints, e. READ MORE

  4. 4. Semi-Supervised Plant Leaf Detection and Stress Recognition

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Márk Antal Csizmadia; [2022]
    Keywords : Deep Learning; Object Detection; Semi-Supervised Learning; Semi-Supervised Object Detection; Computer Vision; Djupinlärning; Objektdetektering; Semi-övervakad inlärning; Semi-övervakad objektdetektering; datorseende;

    Abstract : One of the main limitations of training deep learning-based object detection models is the availability of large amounts of data annotations. When annotations are scarce, semi-supervised learning provides frameworks to improve object detection performance by utilising unlabelled data. READ MORE

  5. 5. Object Detection via Contextual Information

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Lovisa Stålebrink; [2022]
    Keywords : computer vision; machine learning; object detection; deep learning; contextual information; transformers; document object detection; datorseende; maskininlärning; objektdetektion; djupinlärning; kontextuell information; transformer; detektering av dokumentobjekt;

    Abstract : Using computer vision to automatically process and understand images is becoming increasingly popular. One frequently used technique in this area is object detection, where the goal is to both localize and classify objects in images. Today's detection models are accurate, but there is still room for improvement. READ MORE