Robust tracking method to multiple objects
Jyunya Suzuki, Tatsuya Honda, Satoru Takahashi, Hidenori Takauji, Shun’ichi Kaneko · 2011
Recently, tracking method to moving objects on time-series images has an important key role in the field of image processing, for example, medical recognition field or measurement system device. In this paper, we propose new robust tracking method to multiple moving objects based on orientation code matching with extended Kalman filter. Our method can be applied to illumination change and object shape change. Through some experiments, we show utilities of our method.