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This initial research presents the multiview human body tracking method as a tool to measure hurdle clearance parameters. This study was conducted on high level hurdlers, who were members of the Polish national team. The video sequences were recorded by a multicamera system consisting of three 100 Hz Full HD cameras. The sequences were registered under the simulated starting conditions of a 110 m hurdles race. Kinematic parameters were estimated based on the analysis of images from the multicamera system. These parameters were compared with the parameters obtained from ground truth poses. Mean absolute error and mean relative error were selected as the quality criteria. The main advantage of the method presented here is that it does not need any special clothes, markers or the support of other estimation techniques.

This paper presents a comparison of selected fuzzy particle swarm optimization algorithms. Two non-fuzzy and four fuzzy algorithms are considered. The Takagi–Sugeno fuzzy system is used 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 frequently used for testing optimization methods. The ratings of the algorithms are assigned on the basis of the mean of the objective function final value.

This paper presents an example of adaptive fuzzy control design for an unstable plant with a pole changing location in the right half-plane. The design procedure utilizes the Nyquist and the circle stability criteria that can be graphically tested using Nyquist plots. It is assumed that the function of the fuzzy controller is a nonlinearity described by a sector condition. An adaptation mechanism ensures that during adaptation this function stays in a safe sector.

In this paper, markerless method of human motion tracking for measurement of hurdle clearance kinematic parameters was presented. The analysis involved 5 hurdlers at various training levels. Acquisition of video sequences was carried out under simulated starting conditions of a 110 m hurdle race. Kinematic parameters were determined based on the analysis of images recorded with a 100 Hz monocular camera. The accuracy of determined hurdle clearance parameters was verified by comparison of estimated poses with the ground truth poses. As the quality criterion, the mean absolute error was adopted. The level of computed errors showed that the presented method can be used for estimation of hurdle clearance kinematic parameters.