Title: Road recognition and motion target tracking based on infrared image

Authors: Qing-Qing Wang; Li-Guo Zheng; Jia-Nan Meng

Addresses: Jilin Animation Institute, Changchun 130012, Jilin Province, China ' Jilin Animation Institute, Changchun 130012, Jilin Province, China ' Jilin Animation Institute, Changchun 130012, Jilin Province, China

Abstract: Road recognition is a very important link in the safe driving of vehicles. In this paper, a region based road recognition method is proposed for infrared road images. Noise is eliminated by mean filtering and threshold segmentation. Then, the road boundary segments are obtained by the threshold exhaustive method, and the road boundary segments are obtained by the second-order differential operator. The road boundary segments obtained by the two methods are fused to obtain the candidate road boundary segments. Finally, the real road boundary is obtained by optimising the line fitting. For the identified road, the moving target tracking based on interacting multi-mode Kalman filter is adopted. The simulation results show that the interacting multimode Kalman filter can achieve better trajectory fitting, and the errors in X and Y directions before and after filtering are small. This shows the excellent performance of interacting multimode Kalman filter in moving target detection.

Keywords: infrared image; road recognition; target tracking; Kalman filter; chain code tracking.

DOI: 10.1504/IJWMC.2021.114125

International Journal of Wireless and Mobile Computing, 2021 Vol.20 No.2, pp.107 - 119

Received: 18 May 2020
Accepted: 20 Aug 2020
Published online: 09 Apr 2021 *

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