CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Contour Tracking by Stochastic Propagation of Conditional Density
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Rao-Blackwellised particle filter for tracking with application in visual surveillance
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Dynamic tracking system for object recognition
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
Distributed Markov Chain Monte Carlo kernel based particle filtering for object tracking
Multimedia Tools and Applications
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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.