Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity.

A framework for the logical and statistical analysis and annotation of dynamic scenes containing occlusion and other uncertainties is presented. This framework consists of three elements; an object tracker module, an object recognition/classification module and a logical consistency, ambiguity and error reasoning engine. The principle behind the object tracker and object recognition modules is to reduce error by increasing ambiguity (by merging objects in close proximity and presenting multiple hypotheses). The reasoning engine deals with error, ambiguity and occlusion in a unified framework to produce a hypothesis that satisfies fundamental constraints on the spatio-temporal continuity of objects. Our algorithm finds a globally consistent model of an extended video sequence that is maximally supported by a voting function based on the output of a statistical classifier. The system results in an annotation that is significantly more accurate than what would be obtained by frame-by-frame evaluation of the classifier output. The framework has been implemented and applied successfully to the analysis of team sports with a single camera. Key words: Visua

Current methods of soccer match analysis

Ha sido realizada una revisión de 86 artículos, con el objetivo de analizar a través de los estudios más recientes los beneficios y limitaciones de los nuevos sistemas para el análisis del futbolista durante el partido, debido a que las mayores exigencias en el rendimiento del fútbol moderno está obligando a replantearse cuáles son sus demandas físicas, así como los modelos de planificación y los métodos de entrenamiento tradicionales. Los resultados muestran que el vídeo análisis asistido por ordenador para la codificación de los patrones de movimiento y la tecnología GPS se presentan como herramientas de gran utilidad para conocer mejor la carga física del jugador, mientras que el diseño observacional facilita la evaluación del comportamiento técnico-táctico del futbolista y el equipo. Como conclusión podemos decir que hemos observado sin embargo una metodología diferente entre las opciones comerciales disponibles y una tecnología ubicada todavía en una etapa inicial de desarrolloA review of 86 references has been made, in order to analyze through the most recent studies the benefits and limitations of the new systems for the analysis of soccer player during the match, due to the fact that the greater performance requirements of modern soccer is forcing to review his physical demands, as well as planning models and traditional training methods. The results show that the computer-aided video analysis for coding movement patterns and the GPS technology are presented as very useful tools for a better understanding of the players physical load, whereas the observational design facilitates assessment of the technical-tactical behavior of the soccer player and the team. In conclusion we can say that we have however observed a different methodology among the available commercial options and a technology still placed at an initial stage of development

A multisensory monitoring and interpretation framework based on the model-view-controller paradigm

This paper proposes a monitoring and interpretation framework inspired in the Model?View?Controller (MVC) paradigm. Indeed, the paper proposes the extension of the traditional MVC paradigm to make it more flexible in incorporating the functionalities of a monitoring and interpretation system. The proposed model is defined as a hybrid distributed system where remote nodes perform lower level processing as well as data acquisition, while a central node is in charge of collecting the information and of its fusion. Firstly, the framework levels as well as their functionalities are described. Then, a fundamental part of the proposed framework, namely the common model, is introduced

Rastreamento de Jogadores de Futebol em Seqüência de Imagens

Este trabalho propõe um sistema de rastreamento visual de jogadores de futebol, o qual estima as trajetórias 2D em seqüências de imagens capturadas por câmeras fixas, instaladas ao redor de um campo de futebol. O rastreamento permite determinar diversos parâmetros como, por exemplo, a velocidade e a distância percorrida pelos jogadores durante uma partida, a região de maior movimentação da equipe no campo, etc. O sistema proposto segue uma abordagem probabilística, alcançando bons resultados iniciais. Os experimentos mostraram que uma implementação inicial do sistema, utilizando somente informação de variação da intensidade luminosa das imagens, já apresenta resultados eficazes e eficientes e permite vislumbrar melhorias significativas a serem desenvolvidas

Multi-Agent Framework in Visual Sensor Networks

21 pages, 21 figures.-- Journal special issue on Visual Sensor Networks.The recent interest in the surveillance of public, military, and commercial scenarios is increasing the need to develop and deploy intelligent and/or automated distributed visual surveillance systems. Many applications based on distributed resources use the so-called software agent technology. In this paper, a multi-agent framework is applied to coordinate videocamera-based surveillance. The ability to coordinate agents improves the global image and task distribution efficiency. In our proposal, a software agent is embedded in each camera and controls the capture parameters. Then coordination is based on the exchange of high-level messages among agents. Agents use an internal symbolic model to interpret the current situation from the messages from all other agents to improve global coordination.This work was funded by projects CICYT TSI2005-07344, CICYT TEC2005-07186, and CAM MADRINET S-0505/TIC/0255.Publicad