상세정보
학술대회
A Comparative Study on Multi-object Tracking Methods for Sports Events
- 발행일
- 201702
- 출처
- International Conference on Advanced Communication Technology (ICACT) 2017, pp.883-885
- 협약과제
- 16CS1300, 스포츠 영상 콘텐츠의 내용 이해 기반 분석/요약/검색 기술 개발, 남도원
- 초록
- Due to the rapid growth of machine learning technology, there is a need for research to automatically recognize objects and analyze their behavior in various fields, as is the case with sports. Currently, a system for detecting and tracking multiple objects in a sporting event is not accurate enough. Since most of the services depend on the manual operation of an experienced operator, it is necessary to develop a real time tracking technique for detecting the position of an object. In this paper, we propose an algorithm for multi-object tracking in a sporting event by presenting the results of comparing the performance of existing algorithms for multi-object tracking.
- KSP 제안 키워드
- Manual operation, Multiple objects, Real-time Tracking, Sports events, Tracking technique, comparative study, learning technology, machine Learning, multi-object tracking, need for, rapid growth