パーティクルフィルタを用いた進入検出と物体追跡

概要

論文の詳細を見る
Object tracking is an important role in many areas of engineering such as surveillance andcomputer vision. Over the last few years, particle filters have been proved to be powerfultools for object tracking. To adopt particle filters, the number of tracking objects is veryimportant. In this paper, we propose a method of entrance detection in the specific areasusing two-state particle filters. We demonstrate the algorithm on a set of real object targetswhose image contains a number of peoples, bicycles and cars.
大島商船高等専門学校の論文
2008-12-01