METHOD FOR SOFTWARE TRACKING AND ANALYSIS OF PLAYER’S MOTION DURING A FOOTBALL MATCH AND GENERAL PARAMETERS FOR FC RED STAR PLAYERS DURING THE QUALIFICATION ROUNDS FOR UEFA EUROPE LEAGUE

2021 ◽  
Author(s):  
Radivoje Radaković ◽  
◽  
Radun Vulović ◽  
Aleksandar Peulić ◽  
Dalibor Nikolić ◽  
...  
Keyword(s):  
Motion Tracking ◽  
Statistical Distribution ◽  
Video Editing ◽  
Tracking Data ◽  
Software Analysis ◽  
Football Match ◽  
Tracking Motion

Software analysis of player’s motion tracking data during a football match became very important analytically-diagnostic mean for tracking of player’s functionality and efficiency in modern football. The aim of this study was to determine the intensity and structure of players’ motion during the qualification rounds for UEFA Europa League. To record the matches with the system BioIRC Tracking Motion. Algorithmic part of the software for video editing, i.e., for players’ motion tracking, was based on determining the level of similarity of the object’s color statistical distribution. The results of motion tracking analysis, were obtained using our self-developed motion tracking software. We compared our results with results of motion tracking analysis for players obtained during whole duration of the UEFA Europa League championship in seasons 2011/12 and 2012/13. Results of motion tracking analysis for FC Red Star’s players during the match FC Red Star – FC Bordeaux, have showed us that the extent of their motion during the game, significantly overcome average values in European competition.

scholarly journals OpenSim Moco: Musculoskeletal optimal control

2020 ◽  
Vol 16 (12) ◽  
pp. e1008493
Author(s):  
Christopher L. Dembia ◽  
Nicholas A. Bianco ◽  
Antoine Falisse ◽  
Jennifer L. Hicks ◽  
Scott L. Delp
Keyword(s):  
Motion Tracking ◽  
Model Fitting ◽  
Assistive Device ◽  
Direct Collocation ◽  
Complex Anatomy ◽  
Musculoskeletal Models ◽  
Wide Range ◽  
Walking Motion ◽  
Tracking Motion ◽  
Kinematic Loops

Musculoskeletal simulations are used in many different applications, ranging from the design of wearable robots that interact with humans to the analysis of patients with impaired movement. Here, we introduce OpenSim Moco, a software toolkit for optimizing the motion and control of musculoskeletal models built in the OpenSim modeling and simulation package. OpenSim Moco uses the direct collocation method, which is often faster and can handle more diverse problems than other methods for musculoskeletal simulation. Moco frees researchers from implementing direct collocation themselves—which typically requires extensive technical expertise—and allows them to focus on their scientific questions. The software can handle a wide range of problems that interest biomechanists, including motion tracking, motion prediction, parameter optimization, model fitting, electromyography-driven simulation, and device design. Moco is the first musculoskeletal direct collocation tool to handle kinematic constraints, which enable modeling of kinematic loops (e.g., cycling models) and complex anatomy (e.g., patellar motion). To show the abilities of Moco, we first solved for muscle activity that produced an observed walking motion while minimizing squared muscle excitations and knee joint loading. Next, we predicted how muscle weakness may cause deviations from a normal walking motion. Lastly, we predicted a squat-to-stand motion and optimized the stiffness of an assistive device placed at the knee. We designed Moco to be easy to use, customizable, and extensible, thereby accelerating the use of simulations to understand the movement of humans and other animals.

scholarly journals Can Tracking Data Help in Assessing Interpersonal Contact Exposure in Team Sports during the COVID-19 Pandemic?

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6163
Author(s):  
Bruno Gonçalves ◽  
Romeu Mendes ◽  
Hugo Folgado ◽  
Pedro Figueiredo ◽  
Bruno Travassos ◽  
...  
Keyword(s):  
Training Session ◽  
Team Sports ◽  
Contact Tracing ◽  
Tracking Data ◽  
Interpersonal Contact ◽  
Respiratory Exposure ◽  
Football Match ◽  
Contact Exposure ◽  
Two Measures ◽  
Temporary Closure

During the COVID-19 pandemic, the temporary closure of physical activity and sports facilities, and the generalized cancellation or postponement of sports events have a massive impact on social and economic development. In this study, we explored the feasibility of using tracking data from a football match to assess interpersonal contact between individuals by calculating two measures of respiratory exposure. The dynamic tracking positioning of all players and referees during one international football match was analyzed. For each individual, two measures of respiratory exposure were calculated, based on the 2 m interpersonal distance recommendations for contact tracing for COVID-19 control. Overall, individuals spent a median of 0:12 mm:ss (IQR = 0:45 mm:ss) exposed to interpersonal contact of fewer than 2 m from others. The highest value of exposure was observed between two players of opposing teams (6:35 mm:ss). The results suggest that tracking data can be used to assess respiratory exposure to interpersonal contact in team sports, such as football. The measures of exposure calculated can be used to the prompt identification of high-risk contacts of COVID-19 cases during a match or a training session, but also the risk stratification of different sports and physical activities.

Translating motion tracking data into resident feedback: An opportunity for streamlined video coaching

2020 ◽  
Vol 219 (4) ◽  
pp. 552-556 ◽  
Author(s):  
Kenneth H. Perrone ◽  
Su Yang ◽  
Hossein Mohamadipanah ◽  
Brett Wise ◽  
Anna Witt ◽  
...  
Keyword(s):  
Motion Tracking ◽  
Tracking Data ◽  
Video Coaching

scholarly journals Dynamic mechanisms of visually guided 3D motion tracking

2017 ◽  
Vol 118 (3) ◽  
pp. 1515-1531 ◽  
Author(s):  
Kathryn Bonnen ◽  
Alexander C. Huk ◽  
Lawrence K. Cormack
Keyword(s):  
Motion Tracking ◽  
Three Dimensional ◽  
Visually Guided ◽  
Discrete Trial ◽  
3D Tracking ◽  
3D Vision ◽  
Dynamic Mechanisms ◽  
Tracking Motion ◽  
Ecological Importance ◽  
Selective Impairment

The continuous perception of motion-through-depth is critical for both navigation and interacting with objects in a dynamic three-dimensional (3D) world. Here we used 3D tracking to simultaneously assess the perception of motion in all directions, facilitating comparisons of responses to motion-through-depth to frontoparallel motion. Observers manually tracked a stereoscopic target as it moved in a 3D Brownian random walk. We found that continuous tracking of motion-through-depth was selectively impaired, showing different spatiotemporal properties compared with frontoparallel motion tracking. Two separate factors were found to contribute to this selective impairment. The first is the geometric constraint that motion-through-depth yields much smaller retinal projections than frontoparallel motion, given the same object speed in the 3D environment. The second factor is the sluggish nature of disparity processing, which is present even for frontoparallel motion tracking of a disparity-defined stimulus. Thus, despite the ecological importance of reacting to approaching objects, both the geometry of 3D vision and the nature of disparity processing result in considerable impairments for tracking motion-through-depth using binocular cues. NEW & NOTEWORTHY We characterize motion perception continuously in all directions using an ecologically relevant, manual target tracking paradigm we recently developed. This approach reveals a selective impairment to the perception of motion-through-depth. Geometric considerations demonstrate that this impairment is not consistent with previously observed spatial deficits (e.g., stereomotion suppression). However, results from an examination of disparity processing are consistent with the longer latencies observed in discrete, trial-based measurements of the perception of motion-through-depth.

Penentuan Marker untuk Mempermudah Motion Tracking dalam Video

2018 ◽  
Vol 8 (1) ◽  
pp. 38
Author(s):  
Samson Barnea ◽  
M Suyanto ◽  
Hanif Al Fatta
Keyword(s):  
Motion Tracking ◽  
Marker Position ◽  
Position Analysis ◽  
Software Analysis

In the motion tracking is required a marker that will be easier to process this motion tracking, marker certainly has a shape, size and position that will help facilitate the process of this motion tracking. In this research will be done shooting a scene with an experiment with 3 types of marker form and each marker has 5 different sizes, then the results of the taking will be analyzed. From the results of the analysis will get the results of numbers that will show the highest number for what markers with what size can help the process of motion tracking, as well as position marker where the most frequently appear on the results of the marker position analysis later. This can be seen from the results of software analysis that will be used later.   Keyword : CGI, marker , motion tracking

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