Horizontal line detection using genetic algorithm

Uuganbayar Ganbold; Takuya Akashi; Chao Zhang; Hiroyuki Tomita; Hitoshi Kubota

doi:10.1117/12.2521591

22 March 2019 Horizontal line detection using genetic algorithm

Uuganbayar Ganbold, Takuya Akashi, Chao Zhang, Hiroyuki Tomita, Hitoshi Kubota

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 110490S (2019) https://doi.org/10.1117/12.2521591
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

In mobile robots and autonomous vehicles, the information of depth and camera’s orientation are necessary for the applications of positioning and navigation. In this paper, we propose an appearance-assumption-based method for the detection of horizontal line (HL) or vanishing line (VL) on the image observed with a single omnidirectional camera. HL can provide the important information about depth and camera’s orientation for the single view estimation. The detection of HL is assumed as an optimization problem. The optimization of the line is adopted by the genetic algorithm (GA). We implement the real-time detection method of HL using GA. Therefore, the proposed method is evaluated on the multiple videos with the various environment. Experimental results demonstrate the efficiency of the proposed method.

Citation Download Citation

Uuganbayar Ganbold, Takuya Akashi, Chao Zhang, Hiroyuki Tomita, and Hitoshi Kubota "Horizontal line detection using genetic algorithm", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110490S (22 March 2019); https://doi.org/10.1117/12.2521591

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