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Most model-free visual object tracking methods formulate the tracking task as object location estimation given by a 2D segmentation or a bounding box in each video frame. We argue that this representation is limited and instead propose to…

计算机视觉与模式识别 · 计算机科学 2023-04-14 Denys Rozumnyi , Jiri Matas , Marc Pollefeys , Vittorio Ferrari , Martin R. Oswald

This work aims to establish an end-to-end system for tracking of physical 3D objects for virtual reality (VR) applications. We focus on training applications requiring real-time tracking of the position of small physical objects and their…

人机交互 · 计算机科学 2026-05-06 Stanisław Knapiński , Maciej Grzeszczuk , Barbara Karpowicz , Pavlo Zinevych , Wieslaw Kopec

Markerless augmented reality (AR) has the potential to provide engaging experiences and improve outcomes across a wide variety of industries; the overlaying of virtual content, or holograms, onto a view of the real world without the need…

人机交互 · 计算机科学 2021-10-01 Tim Scargill , Jiasi Chen , Maria Gorlatova

Although man has become sedentary over time, his wish to travel the world remains as strong as ever. The aim of this paper is to show how techniques based on imagery and Augmented Reality (AR) can prove to be of great help when discovering…

计算机与社会 · 计算机科学 2013-11-27 Nehla Ghouaiel , Jean-Marc Cieutat , Jean-Pierre Jessel

Object pose tracking is a fundamental and essential task for robotics to perform tasks in the home and industrial settings. The most commonly used sensors to do so are RGB-D cameras, which can hit limitations in highly dynamic environments…

计算机视觉与模式识别 · 计算机科学 2026-05-28 Zhichao Li , Chiara Bartolozzi , Lorenzo Natale , Arren Glover

Recent advances in augmented reality (AR) have enabled interactive systems that assist users in physical assembly tasks. In this paper, we present an AR-assisted assembly workflow that leverages object recognition and hand tracking to (1)…

人机交互 · 计算机科学 2026-01-21 Alexander Htet Kyaw , Haotian Ma , Sasa Zivkovic , Jenny Sabin

Augmented reality assembly guidance is essential for intelligent manufacturing and medical applications, requiring continuous measurement of the 6DoF poses of manipulated objects. Although current tracking methods have made significant…

计算机视觉与模式识别 · 计算机科学 2025-07-03 Jixiang Chen , Jing Chen , Kai Liu , Haochen Chang , Shanfeng Fu , Jian Yang

Localization and mapping is the foundational technology for augmented reality (AR) that enables sharing and persistence of digital content in the real world. While significant progress has been made, researchers are still mostly driven by…

计算机视觉与模式识别 · 计算机科学 2022-10-20 Paul-Edouard Sarlin , Mihai Dusmanu , Johannes L. Schönberger , Pablo Speciale , Lukas Gruber , Viktor Larsson , Ondrej Miksik , Marc Pollefeys

With developments in computer graphics, hardware technology, perception engineering, and human-computer interaction, virtual reality and virtual environments are becoming more integrated into our daily lives. Head-mounted displays, however,…

人机交互 · 计算机科学 2022-03-30 Efe Bozkir

Object tracking is a fundamental task in computer vision with broad practical applications across various domains, including traffic monitoring, robotics, and autonomous vehicle tracking. In this project, we aim to develop a sophisticated…

计算机视觉与模式识别 · 计算机科学 2024-05-30 Tharun V. Puthanveettil , Fnu Obaid ur Rahman

Most existing Multi-Object Tracking (MOT) approaches follow the Tracking-by-Detection paradigm and the data association framework where objects are firstly detected and then associated. Although deep-learning based method can noticeably…

计算机视觉与模式识别 · 计算机科学 2020-07-14 Xingyu Wan , Jiakai Cao , Sanping Zhou , Jinjun Wang

Augmented Reality (AR) applications often require robust real-time tracking of objects in the user's environment to correctly overlay virtual content. Recent advances in computer vision have produced highly accurate deep learning-based…

人机交互 · 计算机科学 2025-11-25 Alice Smith , Bob Johnson , Xiaoyu Zhu , Carol Lee

Tracking the object 6-DoF pose is crucial for various downstream robot tasks and real-world applications. In this paper, we investigate the real-world robot task of aerial vision guidance for aerial robotics manipulation, utilizing…

机器人学 · 计算机科学 2024-01-17 Jingtao Sun , Yaonan Wang , Danwei Wang

Augmented Reality (AR) is transforming the way we interact with virtual information in the physical world. By overlaying digital content in real-world environments, AR enables new forms of immersive and engaging experiences. However,…

人机交互 · 计算机科学 2025-04-24 Julian Rasch , Florian Müller , Francesco Chiossi

In this paper, an online adaptive model-free tracker is proposed to track single objects in video sequences to deal with real-world tracking challenges like low-resolution, object deformation, occlusion and motion blur. The novelty lies in…

计算机视觉与模式识别 · 计算机科学 2017-12-12 Tanushri Chakravorty , Guillaume-Alexandre Bilodeau , Eric Granger

Wearable augmented reality (AR) represents the next interface to all things computing, extending what smartphones and laptops can do. This involves providing access to digital information during activities like walking or jogging. In this…

人机交互 · 计算机科学 2026-04-08 Pavel Manakhov , Hans Gellersen

Augmented reality have undergone considerable improvement in past years. Many special techniques and hardware devices were developed, but the crucial breakthrough came with the spread of intelligent mobile phones. This enabled mass spread…

计算机视觉与模式识别 · 计算机科学 2011-06-29 David Prochazka , Michael Stencl , Ondrej Popelka , Jiri Stastny

Due to the increase of interest in Augmented Reality (AR), the potential uses of AR are increasing also. It can benefit the user in various fields such as education, business, medicine, and other. Augmented Reality supports the real…

This paper addresses the problem of tracking moving objects of variable appearance in challenging scenes rich with features and texture. Reliable tracking is of pivotal importance in surveillance applications. It is made particularly…

计算机视觉与模式识别 · 计算机科学 2013-09-26 Rhys Martin , Ognjen Arandjelović

Visual multi-object tracking has the potential to accelerate many forms of quantitative analyses, especially in research communities investigating the motion, behavior, or social interactions within groups of animals. Despite its potential…

计算机视觉与模式识别 · 计算机科学 2020-01-30 Lance Rice , Samual Tate , David Farynyk , Joshua Sun , Greg Chism , Daniel Charbonneau , Thomas Fasciano , Anna Dornhaus , Min C. Shin