Description:
并本文对两大类步态识别算法进行了深入研究，其主要内容集中于步态特征的提取和分类器的设计两部分。
在特征提取阶段采用多种不同的方法提取多种不同的步态特征，其中效果较好的是一种基于模型的特征提取方法。本文使用关键点和肢体角度构建人体的骨骼化模型，
并对模型的各项参数提取做了改进，从人体的骨骼化模型中提取人体的静态参数(如身高、步幅等)以及动态参数(如运动过程中关键点的位置、运动轨迹、肢体角度、-and two types of paper gait recognition algorithm for in-depth study Its main contents concentrated in the gait characteristics of the extraction and classification of the design of two parts. Feature extraction stage in the use of different methods of extracting different gait characteristics, the effect of which is a better model-based feature extraction methods. Using the key points and limbs angle Construction human skeleton model and the model parameter extraction made improvements, from the human skeleton model of the human body from the static parameters (such as height, Stride) and dynamic parameters (such as the process of movement key points, trajectory, physical perspective, Platform: |
Size: 3257680 |
Author:李岚熙 |
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Description: 人体步态跟踪识别bate版，建立自适应背景，对图像序列的运动人体进行步态识别。自动检测-human gait recognition IASAS version tracking, establish adaptive background, the image sequence for the movement of human gait recognition. Automatic detection Platform: |
Size: 170789 |
Author:唐勇 |
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Description: 人体步态跟踪识别bate版，建立自适应背景，对图像序列的运动人体进行步态识别。自动检测-human gait recognition IASAS version tracking, establish adaptive background, the image sequence for the movement of human gait recognition. Automatic detection Platform: |
Size: 4354048 |
Author:唐勇 |
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Description:
并本文对两大类步态识别算法进行了深入研究，其主要内容集中于步态特征的提取和分类器的设计两部分。
在特征提取阶段采用多种不同的方法提取多种不同的步态特征，其中效果较好的是一种基于模型的特征提取方法。本文使用关键点和肢体角度构建人体的骨骼化模型，
并对模型的各项参数提取做了改进，从人体的骨骼化模型中提取人体的静态参数(如身高、步幅等)以及动态参数(如运动过程中关键点的位置、运动轨迹、肢体角度、-and two types of paper gait recognition algorithm for in-depth study Its main contents concentrated in the gait characteristics of the extraction and classification of the design of two parts. Feature extraction stage in the use of different methods of extracting different gait characteristics, the effect of which is a better model-based feature extraction methods. Using the key points and limbs angle Construction human skeleton model and the model parameter extraction made improvements, from the human skeleton model of the human body from the static parameters (such as height, Stride) and dynamic parameters (such as the process of movement key points, trajectory, physical perspective, Platform: |
Size: 3257344 |
Author:QHLee |
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Description: 数字图像处理，关于步态识别，对研究人体识别方向的人很有帮助-Digital image processing, with regard to gait recognition, the study of the human body to identify the direction of the people very helpful Platform: |
Size: 3110912 |
Author:long |
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Description: 2DPCA用于人脸、步态等图像识别，可先按照行列比例将不规整图像归一化处理，然后进行训练，并且识别，全部中文注释和提示，便于学习和参考。-2DPCA human face, gait, such as image recognition, in accordance with the ranks of the ratio can not structured to deal with the normalized image, and then training, and recognition, all Chinese notes and tips for learning and reference. Platform: |
Size: 3072 |
Author:张天源 |
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Description: Gait extraction toolbox which is used in matlab abd very useful for human activity recognition Platform: |
Size: 7682048 |
Author:serhat |
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Description: 在广泛研究前人工作的基础上，本文对运动人物的检测、跟踪与识别进行了综述。为
使分类清楚明了，本文将人物运动分析分为两大类：人体运动分析，人脸分析。人体运动分
析包括人的较大幅度的肢体运动，如手势识别、步态分析、整个人体的运动分析；人脸分析
包括人脸检测与识别、表情分析。在详细介绍了国内外研究现状后，提出了存在的问题及研
究前景。-Extensively studied in previous work on the basis of the figures in this article on the movement detection, tracking and recognition are reviewed. To enable a clear understanding of classification, motion analysis of figures in this article will be divided into two categories: human motion analysis, analysis of human faces. Analysis of human motion including the relatively large body movements, such as gesture recognition, gait analysis, motion analysis of the human body Facial analysis includes face detection and recognition, facial expression analysis. In the study described in detail the status quo at home and abroad, the proposed study of the problems and prospects. Platform: |
Size: 357376 |
Author:martin |
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Description: 人体运动分析的论文，研究人体步态运动的识别处理，基于OpenCV-Of human motion analysis papers to study the movement of human gait recognition processing, based on OpenCV Platform: |
Size: 132096 |
Author:alvin |
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Description: 人体检测识别与跟踪，运动人体步态识别，跟踪与识别，图像处理-Human detection and identification and tracking, movement of human gait identification, tracking and recognition, image processing Platform: |
Size: 100352 |
Author:肖淑梅 |
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Description: 步态识别算法代码，对多种识别算法予以实现，以及一些论文上提到方法的测试程序。-Gait recognition algorithm code for a variety of recognition algorithms to be realized, as well as some papers on the method of testing procedures mentioned. Platform: |
Size: 13312 |
Author:ray |
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Description: 这是一篇关于基于图像序列的人体步态识别方法研究的文章-This is a sequence of image-based recognition of human gait article Platform: |
Size: 8038400 |
Author:wangbo |
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Description: ：步态识别通过人体走路的姿势来识别人的身份。近年来，步态作为一种生物特征识别技术备受计算机视觉研究者的关注。对某个
人的一个步态序列利用动态 Viterbi 算法得到一个样本姿态序列，对其多个步态样本姿态序列的对应姿态取平均得到这个人的特征姿态序
列，对特征姿态采用主成分分析法和线性判别分析法处理特征空间，并用最近邻法进行识别。利用 CASIA 数据库对本文方法进行验证，
取得了较高的识别率，并对体形变化具有较强的鲁棒性-Human gait recognition is the process of identifying individuals by their walking manners. The gait as one of biometrics has recently
drawn attention to the computer vision researchers. The stance estimation of one’s each gait sequence is based on the dynamic programming-based
Viterbi algorithm, which returns a sample stance sequence. The corresponding stances of sample stance sequences are averaged to get his feature
stance sequence. Principal component analysis and linear discriminant analysis are used for feature transformation of feature stances in the feature
stance sequence. The recognition is achieved by nearest neighbor algorithm. The experiments made on CASIA gait databases obtain comparatively
high correction identification ratio and comparatively strong robustness for variety of bodily form. Platform: |
Size: 1090560 |
Author:贺艳春 |
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Description: 基于人体关节点的步态识别算法研究，步态识别研究。-Joint points based on human gait recognition algorithm for gait recognition. Platform: |
Size: 337920 |
Author:Jimmy |
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Description: 一种实现人体步态识别的baseline算法，用c语言开发的，运行环境最好是Linux系统，算法性能稳定，可靠性高。-A baseline algorithm of human gait recognition , development of c language, running environment is the best Linux system, the performance of the algorithm is stable, and highly reliable. Platform: |
Size: 1089536 |
Author:May |
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Description: 在广泛研究前人工作的基础上，本文对运动人物的检测、跟踪与识别进行了综述。为使分类清楚明了，本文将人物运动分析分为两大类：人体运动分析，人脸分析。人体运动分析包括括人的较大幅度的肢体运动，如手势识别、步态分析、整个人体的运动分析；人脸分析包括人脸检测与识别、表情分析。在详细介绍了国内外研究现状后，提出了存在的问题及研究前景。
-On the basis of previous work in the extensive research, detection, tracking and recognition of moving figures were reviewed. Clear classification, character movement analysis is divided into two major categories: human motion analysis, face. Human motion analysis including including more substantial limb movements, such as gesture recognition, gait analysis, motion analysis of the entire human body human face analysis including face detection and recognition, expression analysis. Detailed research status, Problems and research prospects. Platform: |
Size: 357376 |
Author:kommkk |
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Description: 关于人体轮廓提取的方法和使用人体轮廓进行识别的方法。-Gait curves for human recognition, backpack detection, and silhouette correction in a nighttime environment Platform: |
Size: 1079296 |
Author:树海 |
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Search - Human gait recognition