한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2018년도 춘계학술발표대회
- /
- Pages.469-470
- /
- 2018
- /
- 2005-0011(pISSN)
- /
- 2671-7298(eISSN)
DOI QR Code
Accelerating particle filter-based object tracking algorithms using parallel programming
- Truong, Mai Thanh Nhat (Department of Electrical, Electronic, and Control Engineering, Hankyong National University) ;
- Kim, Sanghoon (Department of Electrical, Electronic, and Control Engineering, Hankyong National University)
- 발행 : 2018.05.11
초록
Object tracking is a common task in computer vision, an essential part of various vision-based applications. After several years of development, object tracking in video is still a challenging problem because of various visual properties of objects and surrounding environment. Particle filter is a well-known technique among common approaches, has been proven its effectiveness in dealing with difficulties in object tracking. However, particle filter is a high-complexity algorithms, which is an severe disadvantage because object tracking algorithms are required to run in real time. In this research, we utilize parallel programming to accelerate particle filter-based object tracking algorithms. Experimental results showed that our approach reduced the execution time significantly.
키워드