Track and field

Résumé

Track and field is a sport that includes athletic contests based on running, jumping, and throwing skills. The name is derived from where the sport takes place, a running track and a grass field for the throwing and some of the jumping events. Track and field is categorized under the umbrella sport of athletics, which also includes road running, cross country running and racewalking. The foot racing events, which include sprints, middle- and long-distance events, racewalking, and hurdling, are won by the athlete who completes it in the least time. The jumping and throwing events are won by those who achieve the greatest distance or height. Regular jumping events include long jump, triple jump, high jump, and pole vault, while the most common throwing events are shot put, javelin, discus, and hammer. There are also "combined events" or "multi events", such as the pentathlon consisting of five events, heptathlon consisting of seven events, and decathlon consisting of ten events. In thes

Source officielle

https://en.wikipedia.org/wiki/Track_and_field

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Synergy of CP-DGPS, Accelerometry and Magnetic Sensors for recise Trajectography in Ski Racing

Jan Skaloud

This paper presents the conceptual and technical aspects of a system in development that precisely determines athlete's trajectory through a course. Carrier phase-based (CP-DGPS) positioning represents core of the system, while tri-acial accelerometer and magnetic sensors act as an autonomous aid that offers instantaneous attitude determination and can potentially help when navigating through GPS signal blackout zones.

2003

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Sport Players Detection and Tracking With a Mixed Network of Planar and Omnidirectional Cameras

Alexandre Massoud Alahi, Laurent Jacques, Pierre Vandergheynst

A generic approach is presented to detect and track people with a network of fixed and omnidirectional cameras given severely degraded foreground silhouettes. The problem is formulated as a sparsity constrained inverse problem. A dictionary made of atoms representing the presence of a person at a given location is used within the problem formulation. A re- weighted scheme is considered to better approximate the sparsity prior. Although the framework is generic to any scene, the focus of this paper is to evaluate the strength of the proposed approach on a basketball game. The main challenges come from the players' behavior, their similar appearance, and the mutual occlusions present in the views. In addition, the extracted foreground silhouettes are severely degraded due to the polished floor reflecting the players, and the strong shadow present in the scene. We present qualitative and quantitative results with the APIDIS dataset as part of the ICDSC sport challenge.

2009

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Probabilistic speed-density relationship for pedestrians based on data driven space and time representation

Michel Bierlaire, Bilal Farooq, Marija Nikolic

This paper proposes a mathematical framework that provides the detailed characterization of the pedestrian flow. It is specifically designed to address the heterogeneity of pedestrian population which is to be reflected through the pedestrian flow indicators. The key components of the presented work are: (i) data driven space discretization framework based on the Voronoi tessellations that allow pedestrian-oriented definition of density indicator; (ii) statistical and data driven approach to time aggregation, allowing for the pedestrian oriented definition of speed indicator; (iii) probabilistic model for speed-density relationship, so as to capture the empirically observed heterogeneity among pedestrians. The estimation and validation of the proposed model are performed on the basis of a pedestrian tracking input. Data is collected in a Lausanne railway station where a large-scale network of cameras has been installed to automatically locate and track thousands of pedestrians. Additionally, the performance provided by this methodology is compared with the well-accepted models published in the literature against empirical data with the aim at improving research on the pedestrian flow characterization.

2014

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