12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China

Research Article

A fast stitching method for container images using texture and weighted speed

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  • @INPROCEEDINGS{10.4108/eai.29-6-2019.2283071,
        author={Quanling  Meng and Mengqin  Zhang and Weigang  Zhang},
        title={A fast stitching method for container images using texture and weighted speed},
        proceedings={12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China},
        publisher={EAI},
        proceedings_a={MOBIMEDIA},
        year={2019},
        month={6},
        keywords={container; computer vision; image stitching; weighted speed},
        doi={10.4108/eai.29-6-2019.2283071}
    }
    
  • Quanling Meng
    Mengqin Zhang
    Weigang Zhang
    Year: 2019
    A fast stitching method for container images using texture and weighted speed
    MOBIMEDIA
    EAI
    DOI: 10.4108/eai.29-6-2019.2283071
Quanling Meng1, Mengqin Zhang1, Weigang Zhang1,*
  • 1: School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China
*Contact email: wgzhang@hit.edu.cn

Abstract

With the rapid development of oceans economy, a huge number of shipping containers are transported are transported all around the world. To reduce the risk of container damage during transportation, existing solutions mainly rely on human beings to observe the container appearance before or after it enters a dock, which is time-consuming and inaccurate. To solve this problem, one intelligent approach is to develop an automatic container damage detection framework based on computer vision techniques. But how to obtain the panorama images for container damage detection is a challenging issue. In this paper, a real-time container panorama producing system is developed based on container ssurveillance videos, which is implemented by container image stitching with texture features. When there is no reliable offset, the weighted speed for splicing is used. Experimental results indicate that the developed system could achieve approving results and in a real-time manner.