Essays about: "Objektspårning"

Showing result 1 - 5 of 14 essays containing the word Objektspårning.

  1. 1. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

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

    Author : Shihang Zhou; [2023]
    Keywords : Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

    Abstract : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. READ MORE

  3. 2. Maximizing the performance of point cloud 4D panoptic segmentation using AutoML technique

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

    Author : Teng Ma; [2022]
    Keywords : LiDAR perception; 4D panoptic segmentation; Hyperparameter Optimization; Deep learning; Automated Machine Learning; LiDAR-uppfattning; 4D-panoptisk segmentering; hyperparameteroptimering; djupinlärning; automatiserad maskininlärning;

    Abstract : Environment perception is crucial to autonomous driving. Panoptic segmentation and objects tracking are two challenging tasks, and the combination of both, namely 4D panoptic segmentation draws researchers’ attention recently. READ MORE

  4. 3. 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

  5. 4. Unsupervised multiple object tracking on video with no ego motion

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

    Author : Shuai Wu; [2022]
    Keywords : Object tracking; Multiple-object tracking; Unsupervised learning; Evaluation metric; Pedestrian tracking; Objektspårning; Spårning av flera objekt; Oövervakad inlärning; Utvärderingsmått; Fotgängarspårning;

    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

  6. 5. Pedestrian Multiple Object Tracking in Real-Time

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

    Author : Samuel Wintzell; [2022]
    Keywords : Computer Vision; Deep Learning; Multiple Object Tracking; Object Detection; Person Re-identification; Datorseende; Djupinlärning; Spårning av Flera Objekt; Objektdetektering; Personidentifiering;

    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