A line based pose representation for human action recognition

Baysal, Sermetcan; Duygulu, Pınar

doi:10.1016/j.image.2013.01.005

Cited by 11 publications

(4 citation statements)

References 36 publications

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“…4 ). The location data of the match are not assigned to the player by the system since the distances of the players to each other in corner and set ball organizations are too close.Therefore, assigning the registered data of the players confused by the system to the correct player is resolved by the operator's identification of these players, and thus data loss is prevented 20 . Scope software asks questions to the operator to check the locations at regular intervals so that the accuracy of the optical tracking is not reduced during the match.…”

Section: Methodsmentioning

confidence: 99%

Variations in the physical demands and technical performance of professional soccer teams over three consecutive seasons

Akyıldız

Nobari

Férnandez

et al. 2022

Sci Rep

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The purpose of this study was twofold: (i) to analyze the seasonal variations in the physical demands of Turkish Super League teams considering their status in the final rankings and (ii) to analyze the seasonal variations in the technical performance of Turkish Super League teams considering their status in the final rankings. This study followed an observational analytic retrospective design. In the last three seasons of the Turkish Super League (2015–2016, 2016–2017 and 2017–2018), 918 football matches, 54 teams, 25,029 observations were made. The Sentio Sports optical tracking system was used to quantify the physical demands and technical execution of players in all matches. No significant differences of external load were found between seasons analyzed (p > 0.05). The number of lost balls, ball touches in the central corridor, and goals from set pieces increased from season one to the others (p < 0.05), while the number of successful dribbles reduced over time (p < 0.05). As conclusion, it seems not occurred a progressive change in external load over the seasons, while an evolutionary trends regarding technical variables were observed.

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Section: Methodsmentioning

confidence: 99%

Variations in the physical demands and technical performance of professional soccer teams over three consecutive seasons

Akyıldız

Nobari

Férnandez

et al. 2022

Sci Rep

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show abstract

“…The Sentio Sports optical tracking system consists of two cameras with 4K resolution, a notebook and a Sentio Scope software. It is reported that the Sentio system provides valid and reliable data in previous studies [22][23][24][25][26]. After the cameras were connected to the computer, Sentio software made the sharpness adjustment and calibration on the field image of the cameras and controlled the obtained data.…”

Section: Data Collection and Measurementmentioning

confidence: 99%

Locomotor Demands in Professional Male Football Players: Differences and Variability According to Halves and Playing Positions

Akyıldız¹,

Yılmaz²,

Çene³

et al. 2022

JOMH

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Background:The aims of the present study were three-fold: to (i) analyze between-position differences according to match activity; (ii) analyze within-position differences according to match halves; and (iii) test the variability of match activity according to both playing positions and match halves. Methods: This study followed an observational analytic prospective design. 21 elite football players participated in this study, where 25 league and 3 continental cup matches were analysed. The differences and consistency of all parameters in the two halves of the match were analyzed. The distances and metabolic power values of an elite football team were recorded using an optical camera technology during the observational period. Total distance (TD), walking, jogging, running and high speed running (HSR) measures were further analyzed. Results: Between-position differences for the overall locomotor measures per minute are present during both halves, except for walking intensity. Defenders (DF) and midfielders (MF) showed significant within-position differences between halves for TD (DF: p = 0.000; η 2 = 0.127; MF: p = 0.000; η 2 = 0.168), for jogging (DF: p = 0.002; η 2 = 0.271, and for running (DF: p = 0.000; η 2 = 0.067; MF: p = 0.000; η 2 = 0.160). HSR and metabolic power (MP) had greater between-position variability differences. While, within-position differences were observed only for forwards (FW) during the 2nd half for HSR. Conclusions: The high-intensity locomotor measures produce higher between-and within-position differences between halves, and the HSR measure have higher between-position variability during the 1st half of a football match. For those reasons, coaches need to consider the variations that are present in high-intensity locomotor measures of each position to better adjust training.

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“…This issue could be solved by a dense, local sampling of optical flows proposed in [40]. Baysal and Duygulu [41] introduced a line based pose representation and explored its ability in recognizing human actions. They encapsulated a human pose into a collection of line-pairs, preserving the geometrical configurations of the components forming the human figure.…”

Section: A Related Work On Action Recognitionmentioning

confidence: 99%

Discriminative Dictionary Learning With Motion Weber Local Descriptor for Violence Detection

Zhang

Jia

et al. 2017

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-Automatic violence detection from video is a hot topic for many video surveillance applications. However, there has been little success in developing an algorithm that can detect violence in surveillance videos with high performance. In this paper, following our recently proposed idea of Motion Weber Local Descriptor (MoWLD), we make two major improvements and propose a more effective and efficient algorithm for detecting violence from motion images. First, we propose an improved WLD (IWLD) to better depict low-level image appearance information, and then extend the spatial descriptor IWLD by adding a temporal component to capture local motion information and hence form the MoIWLD. Second, we propose a modified sparse-representation-based classification (SRC) model to both control the reconstruction error of coding coefficients and minimize the classification error. Based on the proposed sparse model, a class-specific dictionary containing dictionary atoms corresponding to the class labels is learned by using class labels of training samples. With this learned dictionary, not only the representation residual but also the representation coefficients become discriminative. A classification scheme integrating the modified sparse model is developed to exploit such discriminative information. Experimental results on three benchmark datasets have demonstrated the superior performance of the proposed approach over the state-of-the-arts.

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A line based pose representation for human action recognition

Abstract: In this paper, we utilize a line based pose representation to recognize human actions in videos. We represent the pose in each frame by employing a collection of line-pairs, so that limb and joint movements are better described

Cited by 11 publications

References 36 publications

Variations in the physical demands and technical performance of professional soccer teams over three consecutive seasons

Variations in the physical demands and technical performance of professional soccer teams over three consecutive seasons

Locomotor Demands in Professional Male Football Players: Differences and Variability According to Halves and Playing Positions

Discriminative Dictionary Learning With Motion Weber Local Descriptor for Violence Detection

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