Estimation of hurdle clearance parameters using a monocular human motion tracking method

Krzeszowski, Tomasz; Przednówek, Krzysztof; Wiktorowicz, Krzysztof; Iskra, Janusz

doi:10.1080/10255842.2016.1139092

Cited by 11 publications

(13 citation statements)

References 20 publications

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“…The tracking system that we have developed does not use any special clothes, markers or other techniques supporting estimation. This study is a continuation of research presented in our previous paper (Krzeszowski et al, 2016). To the best of our knowledge, the method of multiview markerless tracking is used for the first time for measurement of hurdle clearance kinematic parameters.…”

Section: Introductionmentioning

confidence: 74%

“…The main problems include: high dimensional search space, image noise, the large variability in the appearance of the tracked humans and environment, the complexity of human motion and the fact that particular parts of the body are often obscured. Although these issues can be solved in many different ways, the most common methods use simplified human body models (Deutscher and Reid, 2005;John et al, 2010;Kwolek et al, 2012;Krzeszowski et al, 2016), uniform background (Deutscher and Reid, 2005), and also properly selected clothes of the tracked human body in order to facilitate the determination of distinctive features. In the process of tracking, a particle filter algorithm (Sidenbladh et al, 2000) or its modified versions are frequently used (Deutscher and Reid, 2005).…”

Section: Multiview Human Motion Trackingmentioning

confidence: 99%

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Multiview Human Body Tracking of Hurdle Clearance: A Case Study

Krzeszowski¹,

Przednówek²,

Wiktorowicz³

et al. 2017

Proceedings of the 5th International Congress on Sport Sciences Research and Technology Support

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This initial research is a case study that uses a multiview human body tracking method as a tool to measure hurdle clearance kinematic parameters. This study is conducted on a hurdler representing a high sport level, who is a participant in the European and World Championships and the Olympic Games. The video recordings were made under simulated starting conditions of a 110 m hurdle race. Kinematic parameters are estimated based on the analysis of images from a multicamera system. The images were recorded with a resolution of 1920x1080 and with a frequency of 100 Hz. The proposed method does not use any special clothes, markers or other estimation support techniques. The parameters of the hurdle clearance were compared with the parameters obtained from ground truth poses. Mean Absolute Error and Mean Relative Error were used as the quality criteria.

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Section: Introductionmentioning

confidence: 74%

Section: Multiview Human Motion Trackingmentioning

confidence: 99%

Multiview Human Body Tracking of Hurdle Clearance: A Case Study

Krzeszowski¹,

Przednówek²,

Wiktorowicz³

et al. 2017

Proceedings of the 5th International Congress on Sport Sciences Research and Technology Support

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“…The PSO is mainly inspired by the social behavior of organisms that live and interact within large groups, for example, swarms of bees or flocks of birds. The usefulness of the PSO in solving a wide range of optimization problems has been repeatedly confirmed [1,13,14,22].…”

Section: Introductionmentioning

confidence: 88%

Training High-Order Takagi-Sugeno Fuzzy Systems Using Batch Least Squares and Particle Swarm Optimization

Wiktorowicz

Krzeszowski

2019

Int. J. Fuzzy Syst.

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This paper proposes two methods for training Takagi-Sugeno (T-S) fuzzy systems using batch least squares (BLS) and particle swarm optimization (PSO). The T-S system is considered with triangular and Gaussian membership functions in the antecedents and higher-order polynomials in the consequents of fuzzy rules. In the first method, the BLS determines the polynomials in a system in which the fuzzy sets are known. In the second method, the PSO algorithm determines the fuzzy sets, whereas the BLS determines the polynomials. In this paper, the ridge regression is used to stabilize the solution when the problem is close to the singularity. Thanks to this, the proposed methods can be applied when the number of observations is less than the number of predictors. Moreover, the leaveone-out cross-validation is used to avoid overfitting and this way to choose the structure of a fuzzy model. A method of obtaining piecewise linear regression by means of the zero-order T-S system is also presented.

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“…Further work will focus on improving the proposed algorithm, building models to support the training process in sport [20], and the analysis of athletes' technique [8].…”

Section: Discussionmentioning

confidence: 99%

“…The usefulness of PSO in solving a wide range of optimization problems has been repeatedly confirmed. It has been applied to: the intelligent identification and control of a dynamic system [2]; solving an economic dispatch problem in power systems [3]; human motion tracking [4]; feature selection [5]; automatic incident detection [6]; fuzzy anomaly detection in networks [7]; the estimation of hurdles clearance parameters [8] and many more problems. Many variants of the PSO have been developed since it was introduced in 1995 [1].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of selected fuzzy particle swarm optimization algorithms

Krzeszowski

Wiktorowicz

2016

Annals of Computer Science and Information Systems

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Abstract-This paper is devoted to an evaluation of selected fuzzy particle swarm optimization algorithms. Two non-fuzzy and four fuzzy algorithms are considered. The Takagi-Sugeno fuzzy system is utilized to change the parameters of these algorithms. A modified fuzzy particle swarm optimization method is proposed, in which each of the particles has its own inertia weight and coefficients of the cognitive and social components. The evaluation is based on the common nonlinear benchmark functions used for testing optimization methods. The ratings of the algorithms are assigned on the basis of the mean of the objective function and the relative success.

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Estimation of hurdle clearance parameters using a monocular human motion tracking method

Cited by 11 publications

References 20 publications

Multiview Human Body Tracking of Hurdle Clearance: A Case Study

Multiview Human Body Tracking of Hurdle Clearance: A Case Study

Training High-Order Takagi-Sugeno Fuzzy Systems Using Batch Least Squares and Particle Swarm Optimization

Evaluation of selected fuzzy particle swarm optimization algorithms

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