Temporal co-occurrence matrix approaches to motion analysis

机译：时间共现矩阵运动分析方法

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摘要

We propose a novel method for motion analysis in video sequences. It extends the co-occurrence matrix concept for texture analysis to the temporal domain. The approach proved to be versatile in the sense of targeting different motion analysis tasks. An application of the method is in the compact representation of video sequences, in particular temporal texture patterns.

机译：我们提出了一种在视频序列中进行运动分析的新方法。它将用于纹理分析的共现矩阵概念扩展到时域。在针对不同的运动分析任务的意义上，该方法被证明是通用的。该方法的应用在于视频序列的紧凑表示，特别是时间纹理图案。

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来源
《Conference on Image Processing: Algorithms and Systems III; 20040119-20040121; San Jose,CA; US》|2004年|P.220-231|共12页
会议地点 San Jose CA(US)
作者
Anna Ukovich; Mario Koeppen; Giovanni Ramponi;
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作者单位

Fraunhofer Institute IPK, Pascalstr. 8-9, 10587 Berlin, Germany;

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会议组织
原文格式 PDF
正文语种 eng
中图分类图像信号处理;
关键词
Co-occurrence matrix; motion analysis; temporal textures;

机译：共现矩阵;运动分析;时间纹理;

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2. Detecting violent and abnormal crowd activity using temporal analysis of grey level co-occurrence matrix (GLCM)-based texture measures [J] . Kaelon Lloyd, Paul L. Rosin, David Marshall, Machine Vision and Applications . 2017,第3a4期

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3. Motion recognition using nonparametric image motion models estimated from temporal and multiscale co-occurrence statistics [J] . Fablet R., Bouthemy P. IEEE Transactions on Pattern Analysis and Machine Intelligence . 2003,第12期

机译：使用从时间和多尺度共现统计量估计的非参数图像运动模型进行运动识别
4. Temporal co-occurrence matrix approaches to motion analysis [C] . Anna Ukovich, Mario Koeppen, Giovanni Ramponi, Society of Photo-Optical Instrumentation Engineers Conference on Image Processing : Algorithms and Systems . 2004

机译：时间共发生矩阵运动分析方法
5. A visual analysis of articulated motion complexity based on optical flow and spatial-temporal features. [D] . Christ, Beau Michael. 2015

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6. Different Approaches for Extracting Information from the Co-Occurrence Matrix [O] . Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, -1

机译：从同现矩阵中提取信息的不同方法
7. Detecting violent and abnormal crowd activity using temporal analysis of grey level co-occurrence matrix (GLCM)-based texture measures [O] . 2017

机译：使用基于灰度共生矩阵（GLCM）的纹理量度的时间分析来检测暴力和异常人群活动

Temporal co-occurrence matrix approaches to motion analysis

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