DocumentCode :
3313760
Title :
An automatic analyzer for sports video databases using visual cues and real-world modeling
Author :
Han, Jungong ; Farin, Dirk ; De With, Peter H N ; Lao, Weilun
Author_Institution :
Eindhoven Univ. of Technol., Netherlands
fYear :
2006
fDate :
7-11 Jan. 2006
Firstpage :
477
Lastpage :
478
Abstract :
With the advent of hard-disk video recording, video databases gradually emerge for consumer applications. The large capacity of disks requires the need for fast storage and retrieval functions. We propose a semantic analyzer for sports video, which is able to automatically extract and analyze key events, such as player behavior. The analyzer employs several visual cues and a model for real-world coordinates, so that speed and position of a player can be determined with sufficient accuracy. It consists of four processing steps: (1) playing event detection, (2) court and player segmentation, as well as a 3-D camera model, (3) player tracking, and (4) event-based high-level analysis exploiting visual cues extracted in the real-world. We show attractive experimental results remarking the system efficiency and classification skills.
Keywords :
hard discs; image segmentation; video databases; video recording; video signal processing; automatic analyzer; court segmentation; event-based high-level analysis; hard-disk video recording; key events extraction; player segmentation; player tracking; playing event detection; retrieval functions; semantic analyzer; sports video databases; storage functions; visual cues; Cameras; Event detection; Games; Image analysis; Image segmentation; Layout; Organizing; Performance analysis; Video recording; Visual databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, 2006. ICCE '06. 2006 Digest of Technical Papers. International Conference on
Print_ISBN :
0-7803-9459-3
Type :
conf
DOI :
10.1109/ICCE.2006.1598518
Filename :
1598518
Link To Document :
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