Abstract
In this paper, we propose a method to track multiple players and ball in a football video which is captured by monocular camera. In the case of capturing the video from a single view, there might be a lot of occluded situations of players. To overcome this problem, we propose a robust tracking method for multiple players by combining Particle Filter and Classifier. In this method, we apply Homography to extract player's position on the pitch.
| Original language | English |
|---|---|
| Pages (from-to) | 152-159 |
| Number of pages | 8 |
| Journal | Journal of the Institute of Image Electronics Engineers of Japan |
| Volume | 41 |
| Issue number | 2 |
| Publication status | Published - 2012 |
Fingerprint
Keywords
- CoHOG
- Homography
- Particle filter
- Real AdaBoost
- Tracking
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Electrical and Electronic Engineering
Cite this
Football players and ball tracking using monocular camera for tactics analysis. / Kataoka, Hirokatsu; Aoki, Yoshimitsu.
In: Journal of the Institute of Image Electronics Engineers of Japan, Vol. 41, No. 2, 2012, p. 152-159.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Football players and ball tracking using monocular camera for tactics analysis
AU - Kataoka, Hirokatsu
AU - Aoki, Yoshimitsu
PY - 2012
Y1 - 2012
N2 - In this paper, we propose a method to track multiple players and ball in a football video which is captured by monocular camera. In the case of capturing the video from a single view, there might be a lot of occluded situations of players. To overcome this problem, we propose a robust tracking method for multiple players by combining Particle Filter and Classifier. In this method, we apply Homography to extract player's position on the pitch.
AB - In this paper, we propose a method to track multiple players and ball in a football video which is captured by monocular camera. In the case of capturing the video from a single view, there might be a lot of occluded situations of players. To overcome this problem, we propose a robust tracking method for multiple players by combining Particle Filter and Classifier. In this method, we apply Homography to extract player's position on the pitch.
KW - CoHOG
KW - Homography
KW - Particle filter
KW - Real AdaBoost
KW - Tracking
UR - http://www.scopus.com/inward/record.url?scp=84902212652&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84902212652&partnerID=8YFLogxK
M3 - Article
VL - 41
SP - 152
EP - 159
JO - Journal of the Institute of Image Electronics Engineers of Japan
JF - Journal of the Institute of Image Electronics Engineers of Japan
SN - 0285-9831
IS - 2
ER -