Real-Time Identification and Tracking of Infrared Markers Based on Kalman Filter

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 249-250)
• Pages: 1147-1153
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.249-250.1147
• Online since: December 2012
• Authors: Qiao Na Xing, Da Yuan Yan, Xiao Ming Hu, Jun Qin Lin, Bo Yang
• Keywords: Infrared Markers, Kalman Filter (KF), Markers’ Identification, Mobile Robot

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