Essays about: "Object-Tracking"

Showing result 11 - 15 of 82 essays containing the word Object-Tracking.

  1. 11. 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

  3. 12. Efficient multiple hypothesis tracking using a purely functional array language

    University essay from Linköpings universitet/Datorseende

    Author : Marcus Nolkrantz; [2022]
    Keywords : multiple object tracking; multiple hypothesis tracking; tracking-by-detection; GPGPU; GPU code abstraction; functional programming; Futhark;

    Abstract : An autonomous vehicle is a complex system that requires a good perception of the surrounding environment to operate safely. One part of that is multiple object tracking, which is an essential component in camera-based perception whose responsibility is to estimate object motion from a sequence of images. READ MORE

  4. 13. Collision Avoidance for Complex and Dynamic Obstacles : A study for warehouse safety

    University essay from Linköpings universitet/Reglerteknik

    Author : Sandra Ljungberg; Ester Brandås; [2022]
    Keywords : Object Detection; Object Tracking; Obstacle Avoidance; Collision Avoidance; Automated Guided Vehicle;

    Abstract : Today a group of automated guided vehicles at Toyota Material Handling Manufacturing Sweden detect and avoid objects primarily by using 2D-LiDAR, with shortcomings being the limitation of only scanning the area in a 2D plane and missing objects close to the ground. Several dynamic obstacles exist in the environment of the vehicles. READ MORE

  5. 14. Multi-Camera Multi-Person Tracking Using Reinforcement Learning

    University essay from Lunds universitet/Matematik LTH

    Author : Axel Kärrholm; Linus Rickman; [2022]
    Keywords : Multi-Camera Multi-Object Tracking; Reinforcement Learning; Computer Vision; Machine Learning; Object Detection; Mathematics and Statistics;

    Abstract : The problem of multi-object-tracking in a network of cameras is an interesting and non-trivial problem. Given videos from a number of cameras the goal of Multi-Camera Multi-Object Tracking (MCMOT) is to find the full visible trajectory of each pedestrian from the videos as the pedestrians move across cameras. READ MORE

  6. 15. A Performance Comparison of the Single Object Tracking Algorithms ROLO and Tiny-ROLO

    University essay from KTH/Datavetenskap

    Author : Simon Larspers Qvist; Beata Johansson; [2022]
    Keywords : ;

    Abstract : Object tracking in videos is an extension of ordinary object detection, to continuously predict and follow the objects’ path of motion. The Recurrent YOLO (ROLO) algorithm is a two-stage tracking algorithm that utilizes deep neural networks to track objects in image sequences. READ MORE