TY - GEN
T1 - Motion tracking using particle filter
AU - Musa, Zalili Binti
AU - Watada, Junzo
PY - 2008
Y1 - 2008
N2 - Video tracking system raises a wide possibility in today's society. This system is used in various applications such as security, monitoring, robotic, and nowadays in day-to-day applications. However the video tracking systems still have many open problems and various research activities in a video tracking system are explored. In this study, we have developed a prototype to track a bounce ball movement. Generally, the movement of a bounce ball is fast and the sizes of objects are different regarding on camera view. Therefore, the aim of this study is to construct a motion tracking for an object movement using a particle filter formula. Where, at the end of this paper, the detail outcome and result are discussed using experiments of this method.
AB - Video tracking system raises a wide possibility in today's society. This system is used in various applications such as security, monitoring, robotic, and nowadays in day-to-day applications. However the video tracking systems still have many open problems and various research activities in a video tracking system are explored. In this study, we have developed a prototype to track a bounce ball movement. Generally, the movement of a bounce ball is fast and the sizes of objects are different regarding on camera view. Therefore, the aim of this study is to construct a motion tracking for an object movement using a particle filter formula. Where, at the end of this paper, the detail outcome and result are discussed using experiments of this method.
KW - Condesation
KW - Kalman filter
KW - Object movement
KW - Particle filter
KW - Tracking system
UR - http://www.scopus.com/inward/record.url?scp=57749189265&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=57749189265&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-85567-5-16
DO - 10.1007/978-3-540-85567-5-16
M3 - Conference contribution
AN - SCOPUS:57749189265
SN - 3540855661
SN - 9783540855668
VL - 5179 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 119
EP - 126
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008
Y2 - 3 September 2008 through 5 September 2008
ER -