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Juan Diego Pérez-Moneo Agapito

Bio: Juan Diego Pérez-Moneo Agapito is an academic researcher from University of Valladolid. The author has contributed to research in topics: 3D reconstruction & Photography. The author has an hindex of 4, co-authored 4 publications receiving 41 citations.

Papers
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Proceedings ArticleDOI
23 May 2012
TL;DR: The paper focuses on techniques for the real-time, 3D reconstruction of moving humans from multiple Kinect devices, and the off-line generation of real-life 3D scenes from visual data, captured by non-professional users.
Abstract: The future of tele-conferencing is towards multi-party 3D Tele-Immersion (TI) and TI environments that can support realistic inter-personal communications and virtual interaction among participants. In this paper, we address two important issues, pertinent to TI environments. The paper focuses on techniques for the real-time, 3D reconstruction of moving humans from multiple Kinect devices. The off-line generation of real-life 3D scenes from visual data, captured by non-professional users is also addressed. Experimental results are provided that demonstrate the efficiency of the methods, along with an example of mixing real with virtual in a shared space.

16 citations

Proceedings Article
01 Oct 2010
TL;DR: A novel system for tennis performance analysis that allows coaches to review games and provide detailed audio-visual feedback to tennis athletes and can be generalised to other sports and allow a range of non-professional sports clubs to provide high-quality feedback to their athletes.
Abstract: We describe a novel system for tennis performance analysis that allows coaches to review games and provide detailed audio-visual feedback to tennis athletes. The basis for our system is a network of low-cost IP cameras surrounding the tennis court. Our system exploits the output of several visual analysis modules, including the tracking of players and the tennis ball, and the extraction of player silhouettes for 3D reconstruction. A range of intuitive tools within the interface allow tennis coaches to add 2D and 3D annotations to live video, view play from multiple perspectives, record audio commentary and compute game statistics in real-time. The result is a video file that can be used to provide personalised feedback to the players or for use as a teaching resource for others. While we focus on tennis in this work, we believe our system can be generalised to other sports and allow a range of non-professional sports clubs to provide high-quality feedback to their athletes.

10 citations

Proceedings ArticleDOI
29 Oct 2010
TL;DR: A novel method is proposed able to automatically generate accurate 3D models of both outdoor buildings and indoor scenes with perspective cues from line segments that are automatically extracted from a single image with an uncalibrated camera.
Abstract: In this paper, a novel method is proposed able to automatically generate accurate 3D models of both outdoor buildings and indoor scenes with perspective cues from line segments that are automatically extracted from a single image with an uncalibrated camera. The proposed method uses geometric constraints and knowledge of photography and achieves an accurate, real-time and fully automated 3D reconstruction of the scene without any intervention from the user.

9 citations

01 Jan 2010
TL;DR: An innovative and novel system that allows coaches to review a player’s match performance and provide detailed audio-visual feedback to the athlete and can be generalised to a wide range of other sports.
Abstract: In this paper we present an innovative and novel system fortennis performance analysis that allows coaches to reviewa player’s match performance and provide detailed audio-visual feedback to the athlete. The system utilises a simplenetwork of low-cost IP cameras that encompass the tenniscourt. A graphical user interface provides coaches with videoplayback feeds from multiple viewpoints, a range of intuitivetools for 2D and 3D annotation, real-time game statisticsand the facility for a coach to record audio commentary.This system is specifically designed with non-professionalsports clubs in mind, with an emphasis on low-cost equip-ment. While we focus on tennis in this work, we believe oursystem can be generalised to a wide range of other sports. Categories and Subject Descriptors I.4.8 [IMAGE PROCESSING AND COMPUTER VI-SION]: Scene Analysis—Object recognition, Tracking; H.3.3[Information Storage and Retrieval]: Information Searchand Retrieval General Terms Design, Experimentation, Human Factors

7 citations


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Journal ArticleDOI
TL;DR: An exhaustive survey of all the published research works on ball tracking in a categorical manner is presented to present discussions on the published work so far and views and opinions followed by a modified block diagram of the tracking process.
Abstract: Increase in the number of sport lovers in games like football, cricket, etc. has created a need for digging, analyzing and presenting more and more multidimensional information to them. Different classes of people require different kinds of information and this expands the space and scale of the required information. Tracking of ball movement is of utmost importance for extracting any information from the ball based sports video sequences. Based on the literature survey, we have initially proposed a block diagram depicting different steps and flow of a general tracking process. The paper further follows the same flow throughout. Detection is the first step of tracking. Dynamic and unpredictable nature of ball appearance, movement and continuously changing background make the detection and tracking processes challenging. Due to these challenges, many researchers have been attracted to this problem and have produced good results under specific conditions. However, generalization of the published work and algorithms to different sports is a distant dream. This paper is an effort to present an exhaustive survey of all the published research works on ball tracking in a categorical manner. The work also reviews the used techniques, their performance, advantages, limitations and their suitability for a particular sport. Finally, we present discussions on the published work so far and our views and opinions followed by a modified block diagram of the tracking process. The paper concludes with the final observations and suggestions on scope of future work.

53 citations

Proceedings ArticleDOI
28 Feb 2013
TL;DR: A prototype that can capture, compress transmit and render triangle mesh geometry in real-time over the internet, and has been successfully integrated into a larger tele-immersive environment that includes beyond state of the art 3D reconstruction and rendering modules.
Abstract: 3D Tele-immersion enables participants in remote locations to share, in real-time, an activity. It offers users natural interactivity and immersive experiences, but it challenges current networking solutions. Work in the past has mainly focused on the efficient delivery of image-based 3D videos and on the realistic rendering and reconstruction of geometry-based 3D objects. The contribution of this paper is a complete media pipeline that allows for geometry-based 3D tele-immersion. Unlike previous approaches, that stream videos or video plus depth estimate, our streaming module can transmit the live-reconstructed 3D representations (triangle meshes). Based on a set of comparative experiments, this paper details the architecture and describes a novel component that can efficiently stream geometry in real-time. This component includes both a novel fast local compression algorithm and a rateless packet protection scheme geared towards the requirements imposed by real-time transmission of live-capture mesh geometry. Tests on a large dataset show an encoding and decoding speed-up of over 10 times at similar compression and quality rates, when compared to the high-end MPEG-4 SC3DMC mesh encoder. The implemented rateless code ensures complete packet loss protection of the triangle mesh object and avoids delay introduced by retransmissions. This approach is compared to a streaming mechanism over TCP and outperforms it at packet loss rates over 2% and/or latencies over 9 ms in terms of end-to-end transmission delay. As reported in this paper, the component has been successfully integrated into a larger tele-immersive environment that includes beyond state of the art 3D reconstruction and rendering modules. This resulted in a prototype that can capture, compress transmit and render triangle mesh geometry in real-time over the internet.

29 citations

Journal ArticleDOI
01 Jan 2020
TL;DR: This paper proposes CourtTime, a novel approach to perform data-driven visual analysis of individual tennis matches that introduces a novel visual metaphor, namely 1–D Space-Time Charts that enable the analysis of single points at a glance based on small multiples.
Abstract: Tennis players and coaches of all proficiency levels seek to understand and improve their play. Summary statistics alone are inadequate to provide the insights players need to improve their games. Spatio-temporal data capturing player and ball movements is likely to provide the actionable insights needed to identify player strengths, weaknesses, and strategies. To fully utilize this spatio-temporal data, we need to integrate it with domain-relevant context meta-data. In this paper, we propose CourtTime, a novel approach to perform data-driven visual analysis of individual tennis matches. Our visual approach introduces a novel visual metaphor, namely 1–D Space-Time Charts that enable the analysis of single points at a glance based on small multiples. We also employ user-driven sorting and clustering techniques and a layout technique that aligns the last few shots in a point to facilitate shot pattern discovery. We discuss the usefulness of CourtTime via an extensive case study and report on feedback from an amateur tennis player and three tennis coaches.

29 citations

Journal ArticleDOI
TL;DR: A tool for calibrating multiple Kinect V2 sensors that uses the Kinect's coordinate mapping capabilities between the sensors to register data between camera, depth, and color spaces and uses a novel approach where it obtains multiple 3D points matches between adjacent sensors.

27 citations

Journal ArticleDOI
TL;DR: The results show that the proposed framework can be utilized to model an adequate soft biometric system with rank-1 identification rate of 88%.

27 citations