TY - GEN
T1 - Effective feature extraction for play detection in American football video
AU - Liu, Tie-Yan
AU - Ma, Wei-Ying
AU - Zhang, Hong-Jiang
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2005
Y1 - 2005
N2 - The fact that a typical broadcast can last over 3 hours for a game of 60 minutes makes video summarization of American football games most desirable. In this paper, we present several feature extraction methods for play detection in American football video. Wavelet based motion analysis is used to extract the trend component from the noisy motion vectors; a hybrid field-color model detects field area with both high accuracy and fast speed; and a prior knowledge driven line detection method uses the court information to estimate miss-detections. Based on the so-extracted features, a boosting chain is used for feature selection and decision making. Tested on large-size video data, the detection performance of our work is very promising. © 2005 IEEE.
AB - The fact that a typical broadcast can last over 3 hours for a game of 60 minutes makes video summarization of American football games most desirable. In this paper, we present several feature extraction methods for play detection in American football video. Wavelet based motion analysis is used to extract the trend component from the noisy motion vectors; a hybrid field-color model detects field area with both high accuracy and fast speed; and a prior knowledge driven line detection method uses the court information to estimate miss-detections. Based on the so-extracted features, a boosting chain is used for feature selection and decision making. Tested on large-size video data, the detection performance of our work is very promising. © 2005 IEEE.
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U2 - 10.1109/MMMC.2005.37
DO - 10.1109/MMMC.2005.37
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0769521649
SN - 9780769521640
T3 - Proceedings of the 11th International Multimedia Modelling Conference, MMM 2005
SP - 164
EP - 171
BT - Proceedings of the 11th International Multimedia Modelling Conference, MMM 2005
T2 - 11th International Multimedia Modelling Conference, MMM 2005
Y2 - 12 January 2005 through 14 January 2005
ER -