Real time tracking for enhanced tennis broadcasts

Pingali, Gopal; Jean, Yves D.; Carlbom, Ingrid

doi:10.1109/cvpr.1998.698618

Cited by 63 publications

(40 citation statements)

References 15 publications

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“…Even for the reduced class of objects that we chose as targets, many different detection algorithms have been developed, based, e.g., on binary contours [22], background subtraction [23] or the Hough transform [24]. Following our objective of simplicity and high speed, we use a feedforward architecture based on a linear shift invariant filter (LSI) [11].…”

Section: Object Detectionmentioning

confidence: 99%

Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components

Lampert

Peters

2010

J Real-Time Image Proc

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We describe RTblob, a high speed vision system that detects objects in cluttered scenes based on their color and shape at a speed of over 800 frames per second. Because the system is available as open-source software and relies only on off-the-shelf PC hardware components, it can provide the basis for multiple application scenarios. As an illustrative example, we show how RTblob can be used in a robotic table tennis scenario to estimate ball trajectories through 3D space simultaneously from four cameras images at a speed of 200 Hz.

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Section: Object Detectionmentioning

confidence: 99%

Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components

Lampert

Peters

2010

J Real-Time Image Proc

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“…There are many computer vision systems for other sports domains. Pingali et al (Pingali et al, 1998) develop a real time tracking technology for enhancing the broadcast of tennis matches from stationary cameras. Recently, Yan et al (Yan et al, 2006) propose a data association algorithm to track a tennis ball in low-quantity tennis video sequences.…”

Section: Related Workmentioning

confidence: 99%

Human Motion Tracking Based on Unscented Kalman Filter in Sports Domain

Liu¹,

Tang²

2010

Kalman Filter

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“…Sudhir et al [13] exploited the domain knowledge of tennis video to develop a court line detection algorithm and a player tracking algorithm to identify tactics-related events. Pingali et al [14] presented a real time tracking approach for the players and the ball in the tennis game to obtain the temporal-spatial trajectories which can provide a wealth of information about the game. This work was based on specific-set camera system.…”

Section: B Tactic Strategy Analysis For Sports Gamesmentioning

confidence: 99%

“…The vote that contributes to for the pattern classification is defined as (14) where is the function of the pattern classification for a play region based on the region label shown in Fig. 14(b) (15)…”

Section: A Route Pattern Recognitionmentioning

confidence: 99%

Event Tactic Analysis Based on Broadcast Sports Video

Zhu

Huang³

et al. 2009

IEEE Trans. Multimedia

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Abstract-Most existing approaches on sports video analysis have concentrated on semantic event detection. Sports professionals, however, are more interested in tactic analysis to help improve their performance. In this paper, we propose a novel approach to extract tactic information from the attack events in broadcast soccer video and present the events in a tactic mode to the coaches and sports professionals. We extract the attack events with far-view shots using the analysis and alignment of web-casting text and broadcast video. For a detected event, two tactic representations, aggregate trajectory and play region sequence, are constructed based on multi-object trajectories and field locations in the event shots. Based on the multi-object trajectories tracked in the shot, a weighted graph is constructed via the analysis of temporal-spatial interaction among the players and the ball. Using the Viterbi algorithm, the aggregate trajectory is computed based on the weighted graph. The play region sequence is obtained using the identification of the active field locations in the event based on line detection and competition network. The interactive relationship of aggregate trajectory with the information of play region and the hypothesis testing for trajectory temporal-spatial distribution are employed to discover the tactic patterns in a hierarchical coarse-to-fine framework. Extensive experiments on FIFA World Cup 2006 show that the proposed approach is highly effective.

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Real time tracking for enhanced tennis broadcasts

Cited by 63 publications

References 15 publications

Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components

Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components

Human Motion Tracking Based on Unscented Kalman Filter in Sports Domain

Event Tactic Analysis Based on Broadcast Sports Video

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