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Communication Dans Un Congrès Année : 2014

A novel multitracking system for the evaluation of high-level swimmers performances

Résumé

In the sake of conceiving a robust swimmer tracking system, we implemented two classical tracking techniques well known in the literature, the non-linear joint transform correlation (NL-JTC) and the color histogram approach. Each technique has shown good performance but it is still not sufficient because of their limitations. On the other hand, we noticed some complementarity between the two techniques. In fact, the correlation allows an accurate detection but it is sensitive to rotation, scale and contour deformation however the color histogram technique is robust rotation and contour deformation but it is not accurate in addition to its sensitivity to luminosity and confusing background colors. These observations lead us to propose a dynamic fusion technique that consists in combining the correlation plan and the color scores map. Before performing the fusion different steps are required, more precisely, the extraction of sub plane of correlation that describes the similarity between the reference and the target images. This sub plane has the same size of the color scores map but they have different interval values. Thus, a normalization step is required in order to provide planes in the in the same interval that can be fused. In order to show the benefits of the proposed fusion technique, we tested it on synthetic image contains different forms of different colors. Before applying our technique on real videos of swimmers in competitions, we proposed several optimization to the correlation plane and to the color histogram technique. Finally, a comparative study between the dynamic fusion technique and the two classical techniques is carried out to demonstrate efficacy of the proposed technique. The criteria of comparison are : the tracking percentage, the peak to correlation energy (PCE) which is used to evaluate the sharpness of the peak (accuracy) and the local standard deviation (Local STD) which is proposed to assess the noise in the planes (robustness).
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Dates et versions

hal-02562735 , version 1 (04-05-2020)

Identifiants

Citer

Djamel Benarab, Thibault Napoléon, Ayman Alfalou, Antoine Verney, Philippe Hellard. A novel multitracking system for the evaluation of high-level swimmers performances. Pattern Recognition and Tracking, May 2014, Baltimore, United States. pp.90940A, ⟨10.1117/12.2051268⟩. ⟨hal-02562735⟩
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