IEEE Transactions on Pattern Analysis and Machine Intelligence
Fitting Parameterized Three-Dimensional Models to Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Calibration with Distortion Models and Accuracy Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera calibration without feature extraction
Computer Vision and Image Understanding
Recovering 3D Motion of Multiple Objects Using Adaptive Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Automatic Classification of Tennis Video for High-level Content-based Retrieval
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Accurate Camera Calibration for Off-line, Video-Based Augmented Reality
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
A Survey of Camera Self-Calibration
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Iterative Multi-Step Explicit Camera Calibration
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Vision-Based Camera Motion Recovery for Augmented Reality
CGI '04 Proceedings of the Computer Graphics International
Globally Convergent Autocalibration Using Interval Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Free viewpoint video synthesis and presentation of sporting events for mixed reality entertainment
Proceedings of the 2004 ACM SIGCHI International Conference on Advances in computer entertainment technology
Creating audio keywords for event detection in soccer video
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Inserting 3D projected virtual content into broadcast tennis video
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Trajectory-Based Ball Detection and Tracking in Broadcast Soccer Video
IEEE Transactions on Multimedia
Camera calibration with genetic algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Evolving virtual contents with interactions in videos
IMCE '09 Proceedings of the 1st international workshop on Interactive multimedia for consumer electronics
Virtual spotlighted advertising for tennis videos
Journal of Visual Communication and Image Representation
Non-goal scene analysis for soccer video
Neurocomputing
Tactic analysis based on real-world ball trajectory in soccer video
Pattern Recognition
HMM-based ball hitting event exploration system for broadcast baseball video
Journal of Visual Communication and Image Representation
Multimedia Tools and Applications
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This paper presents an original algorithm to automatically acquire accurate camera calibration from broadcast tennis video (BTV) as well as demonstrates two of its many applications. Accurate camera calibration from BTV is challenging because the frame-data of BTV is often heavily distorted and full of errors, resulting in wildly fluctuating camera parameters. To meet this challenge, we propose a frame grouping technique, which is based on the observation that many frames in BTV possess the same camera viewpoint. Leveraging on this fact, our algorithm groups frames according to the camera viewpoints. We then perform a group-wise data analysis to obtain a more stable estimate of the camera parameters. Recognizing the fact that some of these parameters do vary somewhat even if they have similar camera viewpoint, we further employ a Hough-like search to tune such parameters, minimizing the reprojection disparity. This two-tiered process gains stability in the estimates of the camera parameters, and yet ensures good match between the model and the reprojected camera view via the tuning step. To demonstrate the utility of such stable calibration, we apply the camera matrix acquired to two applications: (a) 3D virtual content insertion; and (b) tennis-ball detection and tracking. The experimental results show that our algorithm is able to acquire accurate camera matrix and the two applications have very good performances.