A Robust Face Tracking Method by Employing Color-based Particle Filter

スポンサーリンク

概要

• 論文の詳細を見る

• 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.

• バイオメディカル・ファジィ・システム学会の論文

著者

• Ishikawa S

  Faculty Of Social And Information Studies Gunma University

• AHAD Md.Atiqur

  Faculty of Engineering, Kyushu Institute of Technology

• NISHINA Y

  Faculty of Engineering, Kyushu Institute of Technology

• TAN J.K.

  Faculty of Engineering, Kyushu Institute of Technology

• KIM H.S.

  Faculty of Engineering, Kyushu Institute of Technology

関連論文

• Differential salt tolerance of two Artemisia species growing in contrasting coastal habitats
• A Robust Face Tracking Method by Employing Color-based Particle Filter

スポンサーリンク