Abstract
Multiple players tracking in volleyball video analysis is very important for developing applications such as tactical analysis system. To obtain a high success rate of tracking, frequent occlusion among players is a problem to be solved. This paper proposes a least square fitting prediction model and a spatial relationship based multi-view elimination method based on a particle filter scheme in 3D space. The prediction model applies a least square fitting to positions in several previous time steps, which can predict player's position during occlusion accurately. The elimination method eliminates other players' regions based on distances between camera and players' positions, which distinguishes players separately and avoids feature loss in severe occlusion. Experiments conducted on videos of the Final Game of 2014 Japan Inter High School Games of Men's Volleyball in Tokyo Metropolitan Gymnasium show that this multiple players tracking algorithm achieves an average tracking success rate of 97.05%.
| Original language | English |
|---|---|
| Title of host publication | Proceeding - 2016 IEEE 12th International Colloquium on Signal Processing and its Applications, CSPA 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 28-31 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781467387804 |
| DOIs | |
| Publication status | Published - 2016 Jul 18 |
| Event | 12th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2016 - Melaka, Malaysia Duration: 2016 Mar 4 → 2016 Mar 6 |
Other
| Other | 12th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2016 |
|---|---|
| Country | Malaysia |
| City | Melaka |
| Period | 16/3/4 → 16/3/6 |
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Keywords
- 3D tracking
- multi-object tracking
- occlusion
- particle filter
ASJC Scopus subject areas
- Signal Processing
- Control and Systems Engineering
- Control and Optimization
Cite this
Particle filter with least square fitting prediction and spatial relationship based multi-view elimination for 3D Volleyball players tracking. / Huang, Shuyi; Zhuang, Xizhou; Ikoma, Norikazu; Honda, Masaaki; Ikenaga, Takeshi.
Proceeding - 2016 IEEE 12th International Colloquium on Signal Processing and its Applications, CSPA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 28-31 7515797.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Particle filter with least square fitting prediction and spatial relationship based multi-view elimination for 3D Volleyball players tracking
AU - Huang, Shuyi
AU - Zhuang, Xizhou
AU - Ikoma, Norikazu
AU - Honda, Masaaki
AU - Ikenaga, Takeshi
PY - 2016/7/18
Y1 - 2016/7/18
N2 - Multiple players tracking in volleyball video analysis is very important for developing applications such as tactical analysis system. To obtain a high success rate of tracking, frequent occlusion among players is a problem to be solved. This paper proposes a least square fitting prediction model and a spatial relationship based multi-view elimination method based on a particle filter scheme in 3D space. The prediction model applies a least square fitting to positions in several previous time steps, which can predict player's position during occlusion accurately. The elimination method eliminates other players' regions based on distances between camera and players' positions, which distinguishes players separately and avoids feature loss in severe occlusion. Experiments conducted on videos of the Final Game of 2014 Japan Inter High School Games of Men's Volleyball in Tokyo Metropolitan Gymnasium show that this multiple players tracking algorithm achieves an average tracking success rate of 97.05%.
AB - Multiple players tracking in volleyball video analysis is very important for developing applications such as tactical analysis system. To obtain a high success rate of tracking, frequent occlusion among players is a problem to be solved. This paper proposes a least square fitting prediction model and a spatial relationship based multi-view elimination method based on a particle filter scheme in 3D space. The prediction model applies a least square fitting to positions in several previous time steps, which can predict player's position during occlusion accurately. The elimination method eliminates other players' regions based on distances between camera and players' positions, which distinguishes players separately and avoids feature loss in severe occlusion. Experiments conducted on videos of the Final Game of 2014 Japan Inter High School Games of Men's Volleyball in Tokyo Metropolitan Gymnasium show that this multiple players tracking algorithm achieves an average tracking success rate of 97.05%.
KW - 3D tracking
KW - multi-object tracking
KW - occlusion
KW - particle filter
UR - http://www.scopus.com/inward/record.url?scp=84983475371&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84983475371&partnerID=8YFLogxK
U2 - 10.1109/CSPA.2016.7515797
DO - 10.1109/CSPA.2016.7515797
M3 - Conference contribution
SP - 28
EP - 31
BT - Proceeding - 2016 IEEE 12th International Colloquium on Signal Processing and its Applications, CSPA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -