Kyushu Institute of Technology Academic Repository
Kyutacarは九州工業大学で生産された研究成果を オープンアクセスで提供する機関リポジトリシステムです。 Kyutacar is open-access repository of research by members of the Kyushu Institute of Technology.
Faculty of Engineering, Kyushu Institute of Technology
Faculty of Engineering, Kyushu Institute of Technology
Faculty of Engineering, Kyushu Institute of Technology
Faculty of Engineering, Kyushu Institute of Technology
Faculty of Engineering, Kyushu Institute of Technology
抄録
Human or face tracking in a diverse environment is very important for various applications in computer vision, especially for video surveillance. Usually, a color cue offers many advantages over motion or geometric information which cannot robustly handle partial occlusion, rotation, scale and resolution changes. In this paper, we present a robust face tracking system by employing a color-based particle filter. The face detection technique is realized based on a Haar-like features algorithm. Here we exploit skin color cues for face-tracking, and it also proposes a body-part particle distribution system. This system is robust against occlusion by human or others and it can perform the tracking in real-time. We conducted experiments in both indoor and outdoor environments, with either a single or multiple persons in a view. Based on the color-based and body-part particle filter, we tracked a person's face satisfactorily by a developed simple robot system.
雑誌名
International Journal of Biomedical Soft Computing and Human Sciences
A Robust Face Tracking Method by Employing Color-based Particle Filter
ijbschs16_1_127.pdf
(1.1MB)
