Real-Time Identification and Tracking of Infrared Markers Based on Kalman Filter
Qiao Na Xing, Da Yan, Xiao Ming Hu, Jun Qin Lin, Bo Yang · Applied Mechanics and Materials · 2012
Automatic equipmenttransportation in the wild complex terrain circumstances is very important in rescue or military. In this paper, an accompanying system based on the identification and tracking of infrared LEDmarkers is proposed. This system avoidsthe defect that visible-light identification method has. In addition, this paper presents a Kalman filter to predict where infraredmarkers may appear in the nextframe imageto reduce the searchingarea of infrared markers, which remarkablyimproves the identificationspeed of infrared markers. The experimental results show that the algorithm proposed in this paper is effective and feasible.