Data association for an adaptive multi-target particle filter tracking system
This paper presents a hybrid approach to improve the accuracy of tracking multiple objects in a static scene using a particle filter system by introducing a data association step, a state queue for the collection of tracked objects and adaptive parameters to the system. The data association step mak...
| Опубликовано в:: | Philippine computing journal 7, 1 (2012(Ag)). |
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| Главный автор: | |
| Формат: | Статья |
| Язык: | English |
| Предметы: |