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Related papers: Kinect Range Sensing: Structured-Light versus Time…

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The present paper is part of a broader programme, exploring the possibility of involving the Microsoft Kinect$^{\rm TM}$ sensor in the analysis of human motion. In this study, the output obtained from the two available versions of this…

Medical Physics · Physics 2015-04-02 M. J. Malinowski , E. Matsinos

Microsoft Kinect camera and its skeletal tracking capabilities have been embraced by many researchers and commercial developers in various applications of real-time human movement analysis. In this paper, we evaluate the accuracy of the…

Computer Vision and Pattern Recognition · Computer Science 2016-11-17 Qifei Wang , Gregorij Kurillo , Ferda Ofli , Ruzena Bajcsy

Time-of-flight (TOF) cameras are sensors that can measure the depths of scene-points, by illuminating the scene with a controlled laser or LED source, and then analyzing the reflected light. In this paper, we will first describe the…

Computer Vision and Pattern Recognition · Computer Science 2020-12-15 Radu Horaud , Miles Hansard , Georgios Evangelidis , Clement Menier

Over the past ten years we have seen a democratization of range sensing technology. While previously range sensors have been highly expensive and only accessible to a few domain experts, such sensors are nowadays ubiquitous and can even be…

Computer Vision and Pattern Recognition · Computer Science 2019-02-20 Michael Zollhöfer

That the Microsoft Kinect, an RGB-D sensor, transformed the gaming and end consumer sector has been anticipated by the developers. That it also impacted in rigorous computer vision research has probably been a surprise to the whole…

Computer Vision and Pattern Recognition · Computer Science 2013-10-09 Kai Berger

The present paper aims at providing the theoretical background required for investigating the use of the Microsoft Kinect$^{\rm TM}$ (`Kinect', for short) sensors (original and upgraded) in the analysis of human motion. Our methodology is…

Medical Physics · Physics 2015-05-28 M. J. Malinowski , E. Matsinos , S. Roth

Combining new, low-cost thermal infrared and time-of-flight range sensors provides new opportunities. In this position paper we explore the possibilities of combining these sensors and using their fused data for person detection. The…

Computer Vision and Pattern Recognition · Computer Science 2016-12-08 Wim Abbeloos , Toon Goedemé

The analysis of human motion as a clinical tool can bring many benefits such as the early detection of disease and the monitoring of recovery, so in turn helping people to lead independent lives. However, it is currently under used.…

Computer Vision and Pattern Recognition · Computer Science 2018-04-10 Sean Maudsley-Barton , Jamie McPheey , Anthony Bukowski , Daniel Leightley , Moi Hoon Yap

Computational photography encompasses a diversity of imaging techniques, but one of the core operations performed by many of them is to compute image differences. An intuitive approach to computing such differences is to capture several…

Computer Vision and Pattern Recognition · Computer Science 2017-05-22 Clara Callenberg , Felix Heide , Gordon Wetzstein , Matthias Hullin

Time-of-flight (TOF) cameras are based on a new technology that delivers distance maps by the use of a modulated light source. In this paper we first describe a set of experiments that we performed with TOF cameras. We then propose a noise…

Data Analysis, Statistics and Probability · Physics 2007-05-23 Dragos Falie , Vasile Buzuloiu

An increasing number of systems use indoor positioning for many scenarios such as asset tracking, health care, games, manufacturing, logistics, shopping, and security. Many technologies are available and the use of depth cameras is becoming…

Computers and Society · Computer Science 2016-02-10 Loïc Sevrin , Norbert Noury , Nacer Abouchi , Fabrice Jumel , Bertrand Massot , Jacques Saraydaryan

Perception systems for ornithopters face severe challenges. The harsh vibrations and abrupt movements caused during flapping are prone to produce motion blur and strong lighting condition changes. Their strict restrictions in weight, size,…

Video-based human action recognition is currently one of the most active research areas in computer vision. Various research studies indicate that the performance of action recognition is highly dependent on the type of features being…

Computer Vision and Pattern Recognition · Computer Science 2019-10-02 Lei Wang , Du Q. Huynh , Piotr Koniusz

We introduce a structured light system that enables full-frame 3D scanning at speeds of $1000\text{ fps}$, four times faster than the previous fastest systems. Our key innovation is the use of a custom acousto-optic light scanning device…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Dhawal Sirikonda , Praneeth Chakravarthula , Ioannis Gkioulekas , Adithya Pediredla

This article describes the design and development of a system for remote indoor 3D monitoring using an undetermined number of Microsoft(R) Kinect sensors. In the proposed client-server system, the Kinect cameras can be connected to…

Computer Vision and Pattern Recognition · Computer Science 2014-03-13 M. Martínez-Zarzuela , M. Pedraza-Hueso , F. J. Díaz-Pernas , D. González-Ortega , M. Antón-Rodríguez

Visible images have been widely used for motion estimation. Thermal images, in contrast, are more challenging to be used in motion estimation since they typically have lower resolution, less texture, and more noise. In this paper, a novel…

Computer Vision and Pattern Recognition · Computer Science 2021-05-18 Weichen Dai , Yu Zhang , Shenzhou Chen , Donglei Sun , Da Kong

State-of-the-art time-of-flight (ToF) based 3D sensors suffer from poor lateral and depth resolutions. In this work, we introduce a novel sensor concept that provides ToF-based 3D measurements of real world objects with depth precisions up…

Continuous-wave Time-of-flight (TOF) range imaging has become a commercially viable technology with many applications in computer vision and graphics. However, the depth images obtained from TOF cameras contain scene dependent errors due to…

Computer Vision and Pattern Recognition · Computer Science 2015-02-03 Nikhil Naik , Achuta Kadambi , Christoph Rhemann , Shahram Izadi , Ramesh Raskar , Sing Bing Kang

Event camera is a new type of sensor that is different from traditional cameras. Each pixel is triggered asynchronously by an event. The trigger event is the change of the brightness irradiated on the pixel. If the increment or decrement is…

Computer Vision and Pattern Recognition · Computer Science 2022-03-28 Kun Xiao , Pengju Li , Guohui Wang , Zhi Li , Yi Chen , Yongfeng Xie , Yuqiang Fang

Modeling crowd behavior relies on accurate data of pedestrian movements at a high level of detail. Imaging sensors such as cameras provide a good basis for capturing such detailed pedestrian motion data. However, currently available…

Computer Vision and Pattern Recognition · Computer Science 2012-10-11 Stefan Seer , Norbert Brändle , Carlo Ratti
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