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Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II

Research Article

Fast Recognition of Multi-combination Target Features in Motion Image Based on Large Data Analysis

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  • @INPROCEEDINGS{10.1007/978-3-030-67874-6_31,
        author={Tao Wei},
        title={Fast Recognition of Multi-combination Target Features in Motion Image Based on Large Data Analysis},
        proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II},
        proceedings_a={ADHIP PART 2},
        year={2021},
        month={1},
        keywords={Large data Motion image Target feature Recognition method},
        doi={10.1007/978-3-030-67874-6_31}
    }
    
  • Tao Wei
    Year: 2021
    Fast Recognition of Multi-combination Target Features in Motion Image Based on Large Data Analysis
    ADHIP PART 2
    Springer
    DOI: 10.1007/978-3-030-67874-6_31
Tao Wei1,*
  • 1: Northwestern Polytechnical University
*Contact email: whai7863@163.com

Abstract

In order to overcome the low efficiency of traditional recognition technology, a fast recognition method of multi-combination features of moving images based on large data analysis is proposed. Based on feature extraction of multi-combination target, denoising of moving image and determination of Boolean correlation coefficient, fast recognition of multi-combination target feature of moving image under large data analysis is realized. The experimental data show that the proposed recognition method can not only effectively improve the efficiency of traditional recognition technology, but also make the recognition result more stable, and enhance the adaptability and flexibility of image recognition technology.

Keywords
Large data Motion image Target feature Recognition method
Published
2021-01-29
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-67874-6_31
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