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Conference Paper A Comparative Study on Preprocessing Methods for Object Tracking in Sports Events
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Authors
Sungwon Moon, Jiwon Lee, Dowon Nam, Wonyoung Yoo, Wonjun Kim
Issue Date
2018-02
Citation
International Conference on Advanced Communications Technology (ICACT) 2018, pp.460-462
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.23919/ICACT.2018.8323794
Abstract
Due to the development of machine learning, interest in automatic recognition of objects in videos is increasing. In the sports field, there is a growing demand for a technology for automatically recognizing and tracking various objects in a sports game video. However, it is very difficult to recognize and track an object without proper preprocessing due to its small size and large sports field. In this paper, we compare background substraction and edge detection, which are typical preprocessing methods for automatic recognition and tracking of objects in sports images, and analyze advantages and disadvantages of each method.
KSP Keywords
Automatic recognition, Edge Detection, Recognition of objects, Sports events, advantages and disadvantages, background substraction, comparative study, machine Learning, object Tracking, preprocessing methods, small size