A New Method of Object Segmentation in the Basketball Videos

Author

Wu, Lifang ; Meng, Xianglong ; Liu, Xun ; Chen, Shiju

Author_Institution

Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

319

Lastpage

322

Abstract

Object segmentation is one of key issues in object based video analysis and retrieval. In this paper, a basketball segmentation algorithm is proposed. The algorithms involve a hierarchical basketball detection algorithm and a motion tracking algorithm based on adaptive object model. Basketball detection algorithm is started firstly, only when a basketball is detected, the tracking algorithm is started in the next frame. Moreover, there is a tracking result evaluation module in motion tracking algorithm, if it is true, the tracking algorithm is used in the next frame, otherwise, the detection module is started again. The experimental results from real basketball video confirm the efficiency of the proposed algorithms

Keywords

image motion analysis; image segmentation; object detection; sport; target tracking; video signal processing; adaptive object model; basketball detection; basketball segmentation; basketball videos; motion tracking; object based video analysis; object segmentation; video retrieval; Deformable models; Detection algorithms; Games; Information analysis; Information retrieval; Layout; Motion detection; Object segmentation; Tracking; Videos;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.122

Filename

1698897