Journal
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
Volume 68, Issue 5, Pages 1591-1595Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSII.2021.3067027
Keywords
Trajectory; Videos; Three-dimensional displays; Detectors; Cameras; Sports; Two dimensional displays; Volleyball video; trajectory segmentation; trajectory classification
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Funding
- Qualcomm through a Taiwan University Research Collaboration Project
- Ministry of Science and Technology, Taiwan [108-2221-E-006-227-MY3, 107-2923-E-006-009MY3, 109-2218-E-002-015]
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Analyzing volleyball videos based on 3D ball trajectories has been overlooked before, but this research utilizes BERT language model technique to segment and classify trajectories, enabling more advanced volleyball analysis.
Analyzing volleyball videos based on 3D ball trajectories was relatively overlooked before. In this brief, we focus on how ball trajectories can benefit volleyball video analysis. Based on videos captured by two cameras from different viewpoints, we detect the volleyball and construct 3D ball trajectories. We then propose a trajectory segmentation and classification method based on BERT (Bidirectional Encoder Representation for Transformer). The volleyball at each frame can be categorized into one of six trajectory classes, e.g., serve and attack, and a long ball trajectory showing the ball being hit back and forth is appropriately segmented. We believe that this is a very first study adopting the language model technique to analyze ball trajectories, and results of trajectory segmentation and classification can enable more advanced volleyball analysis.
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