行人重识别技术在视频监控中的应用研究
摘 要
本文通过研究和分析行人重识别技术在视频监控中的应用，提出了该技术的基本原理、特征提取方法和特征匹配方法，并探讨了在实际应用中存在的问题及提升方法。在视频监控领域中，行人重识别技术的应用已经越来越广泛，但其仍存在诸多问题，如视频场景对行人重识别技术的影响、时间复杂度和隐私保护问题等。为了提高技术在实际应用中的准确性与效率，本文提出了改进特征描述子、优化图像预处理和融合多种识别技术等提升方法。这些提升方法可以有效地提高行人重识别技术的性能和可靠性，为视频监控系统的安全性和可靠性提供了有力的保障。
关键词：行人重识别技术、特征提取、特征匹配、视频监控、优化方法
Abstract
By studying and analyzing the application of pedestrian rerecognition technology in video surveillance, this paper proposes the basic principle, feature extraction method and feature matching method of this technology, and discusses the problems existing in practical application and the improvement methods. In the field of video surveillance, pedestrian rerecognition technology has been applied more and more widely, but there are still many problems, such as the impact of video scene on pedestrian rerecognition technology, time complexity and privacy protection. In order to improve the accuracy and efficiency of the technology in practical application, this paper proposes improving the feature desc riptor, optimizing the image preprocessing and integrating various recognition techniques. These methods can effectively improve the performance and reliability of pedestrian rerecognition technology and provide a strong guarantee for the safety and reliability of video surveillance system.
Keyword:Pedestrian rerecognition technology, feature extraction, feature matching, video surveillance, optimization method
目 录
1引言 1
2行人重识别技术的相关理论概述 1
2.1 行人重识别技术的基本原理 1
2.2 行人重识别技术的特征提取方法 1
2.3 行人重识别技术的特征匹配方法 2
3行人重识别技术在视频监控应用中存在的问题 2
3.1 视频场景对行人重识别技术的影响 2
3.2 行人重识别技术的时间复杂度 3
3.3 行人重识别技术的隐私保护问题 3
4行人重识别技术在视频监控应用中的提升方法 4
4.1 改进特征描述子 4
4.2 优化图像预处理 4
4.3 融合多种识别技术 5
5结论 5
参考文献 7
致谢 8
摘 要
本文通过研究和分析行人重识别技术在视频监控中的应用，提出了该技术的基本原理、特征提取方法和特征匹配方法，并探讨了在实际应用中存在的问题及提升方法。在视频监控领域中，行人重识别技术的应用已经越来越广泛，但其仍存在诸多问题，如视频场景对行人重识别技术的影响、时间复杂度和隐私保护问题等。为了提高技术在实际应用中的准确性与效率，本文提出了改进特征描述子、优化图像预处理和融合多种识别技术等提升方法。这些提升方法可以有效地提高行人重识别技术的性能和可靠性，为视频监控系统的安全性和可靠性提供了有力的保障。
关键词：行人重识别技术、特征提取、特征匹配、视频监控、优化方法
Abstract
By studying and analyzing the application of pedestrian rerecognition technology in video surveillance, this paper proposes the basic principle, feature extraction method and feature matching method of this technology, and discusses the problems existing in practical application and the improvement methods. In the field of video surveillance, pedestrian rerecognition technology has been applied more and more widely, but there are still many problems, such as the impact of video scene on pedestrian rerecognition technology, time complexity and privacy protection. In order to improve the accuracy and efficiency of the technology in practical application, this paper proposes improving the feature desc riptor, optimizing the image preprocessing and integrating various recognition techniques. These methods can effectively improve the performance and reliability of pedestrian rerecognition technology and provide a strong guarantee for the safety and reliability of video surveillance system.
Keyword:Pedestrian rerecognition technology, feature extraction, feature matching, video surveillance, optimization method
目 录
1引言 1
2行人重识别技术的相关理论概述 1
2.1 行人重识别技术的基本原理 1
2.2 行人重识别技术的特征提取方法 1
2.3 行人重识别技术的特征匹配方法 2
3行人重识别技术在视频监控应用中存在的问题 2
3.1 视频场景对行人重识别技术的影响 2
3.2 行人重识别技术的时间复杂度 3
3.3 行人重识别技术的隐私保护问题 3
4行人重识别技术在视频监控应用中的提升方法 4
4.1 改进特征描述子 4
4.2 优化图像预处理 4
4.3 融合多种识别技术 5
5结论 5
参考文献 7
致谢 8
