Analysis of the distances covered by first division brazilian soccer players obtained with an automatic tracking method.

Methods based on visual estimation still is the most widely used analysis of the distances that is covered by soccer players during matches, and most description available in the literature were obtained using such an approach. Recently, systems based on computer vision techniques have appeared and the very first results are available for comparisons. The aim of the present study was to analyse the distances covered by Brazilian soccer players and compare the results to the European players', both data measured by automatic tracking system. Four regular Brazilian First Division Championship matches between different teams were filmed. Applying a previously developed automatic tracking system (DVideo, Campinas, Brazil), the results of 55 outline players participated in the whole game (n = 55) are presented. The results of mean distances covered, standard deviations (s) and coefficient of variation (cv) after 90 minutes were 10,012 m, s = 1,024 m and cv = 10.2%, respectively. The results of three-way ANOVA according to playing positions, showed that the distances covered by external defender (10642 ± 663 m), central midfielders (10476 ± 702 m) and external midfielders (10598 ± 890 m) were greater than forwards (9612 ± 772 m) and forwards covered greater distances than central defenders (9029 ± 860 m). The greater distances were covered in standing, walking, or jogging, 5537 ± 263 m, followed by moderate-speed running, 1731 ± 399 m; low speed running, 1615 ± 351 m; high-speed running, 691 ± 190 m and sprinting, 437 ± 171 m. Mean distance covered in the first half was 5,173 m (s = 394 m, cv = 7.6%) highly significant greater (p < 0.001) than the mean value 4,808 m (s = 375 m, cv = 7.8%) in the second half. A minute-by-minute analysis revealed that after eight minutes of the second half, player performance has already decreased and this reduction is maintained throughout the second half. Key pointsA novel automatic tracking method was presented. No previous work was found in the literature reporting data of simultaneous trajectories of all soccer players obtained by an automatic tracking method.The study reveals 7% reduction in mean distance covered in the second half and moreover after eight minutes of the second half, player performance has already decreased and this reduction is maintained throughout the second half.

A method to synchronise video cameras using the audio band.

This paper proposes and evaluates a novel method for synchronisation of video cameras using the audio band. The method consists in generating and transmitting an audio signal through radio frequency for receivers connected to the microphone input of the cameras and inserting the signal in the audio band. In a software environment, the phase differences among the video signals are calculated and used to interpolate the synchronous 2D projections of the trajectories. The validation of the method was based on: (1) Analysis of the phase difference changes as a function of time of two video signals. (2) Comparison between the values measured with an oscilloscope and by the proposed method. (3) Estimation of the improvement in the accuracy in the measurements of the distance between two markers mounted on a rigid body during movement applying the method. The results showed that the phase difference changes in time slowly (0.150 ms/min) and linearly, even when the same model of cameras are used. The values measured by the proposed method and by oscilloscope showed equivalence (R2=0.998), the root mean square of the difference between the measurements was 0.10 ms and the maximum difference found was 0.31 ms. Applying the new method, the accuracy of the 3D reconstruction had a statistically significant improvement. The accuracy, simplicity and wide applicability of the proposed method constitute the main contributions of this work.

A flexible software for tracking of markers used in human motion analysis.

In this work, we present a software for the tracking of markers used in human motion analysis. This software is based mainly on image sequences captured by video cameras and on image processing and computer vision tools. Unlike the optoelectronic systems, which record only the coordinates of the markers, a video-based system offers more visual information and flexibility which can be exploited in different applications. However, it needs a more complex tracking procedure concerned with the extraction and identification of the used markers. The tracking module presented here is divided into the following three procedures: segmentation, matching and prediction. The segmentation consists in extracting the objects of interest (markers). The matching is used to find the correspondence between the extracted objects in two consecutive frames. The prediction is important to limit the region of processing, thus reducing the execution time. Some results of the automatic tracking are presented together with their application in human motions analysis.

Measuring handball players trajectories using an automatically trained boosting algorithm.

The aim of the present paper is to propose and evaluate an automatically trained cascaded boosting detector algorithm based on morphological segmentation for tracking handball players. The proposed method was able to detect correctly 84% of players when applied to the second period of that same game used for training and 74% when applied to a different game. Furthermore, the analysis of the automatic training using boosting detector revealed general results such as the training time initially increased with the number of figures used, but as more figures were added, the training time decreased. Automatic morphological segmentation has shown to be a fast and efficient method for selecting image regions for the boosting detector and allowed an improvement in the automatic tracking of handball players.

Parámetros del crecimiento físico de niños que viven a moderada altitud / Parameters of physical growth of children living at moderate altitude

El desarrollo del crecimiento físico depende del bagaje genético, nutricional, nivel socio-económico, enfermedades, influencias ambientales, tendencia secular, actividad física y el nivel de altitud. Objetivo: Determinar los parámetros del crecimiento físico de niños que viven a moderada altitud en función del género y en relación a los patrones referenciales del CDC y NHANAS-USA. Material y métodos: Fueron seleccionados 795 niños de condición socioeconómica media de manera probabilística (estratificado), siendo 394 varones y 401 damas de escuelas públicas del área urbana de la ciudad de Arequipa-Perú (2320 msnm). Se evaluaron las variables antropométricas peso corporal (kg), estatura (m), pliegue tricipital (mm) y circunferencia del brazo relajado (cm). Resultados: Se encontró valores similares en el peso corporal (p>0,005) y valores inferiores en estatura (p<0,005) en niños de ambos géneros en relación con la referencia del CDC. En el pliegue tricipital, se observó valores relativamente similares en ambos géneros, al comparar con la referencia del National Health and Nutrition Examination Survey (NHANES)-USA. Los valores de la circunferencia del brazo según percentiles fue menor en ambos géneros en comparación con la referencia NHANES-USA. Conclusiones: Los resultados sugieren atraso en el crecimiento lineal que podría estar relacionada con la altitud y con una pobre reserva de proteína observada en la circunferencia del brazo.

The development of physical growth depends on genetic background, nutritional, socioeconomic conditions, environmental, secular trend, physical activity and level of altitude. Objective: To determine the parameters of physical growth of children living at moderate altitude according gender and compared with reference patterns CDC and NHANAS-USA. Methods: We selected 795 children from socio-economic status mean, by probabilistic sampling (stratified); 394 males and 401 women from public school of urban area of Arequipa city, Peru (2320msnm). We evaluated body weight (kg), height (m), triceps skinfold (mm) and relaxed arm circumference (cm). Results: We found similar values of body weight (p> 0.005) and lower values of stature (p <0.005) in both genders when compared with CDC reference. In the triceps skinfold, there was similar values in both genders when compared with the reference National Health and Nutrition Examination Survey (NHANES)-USA. Values of arm circumference was lower in both gender in comparison with reference NHANES-USA. Conclusions: The results suggest delay in linear growth may be related to altitude and with poor reserves of protein observed in arm circumference.