Description: 图像识别--手识识别C++,可根据图像识别人的动作，并给出相应的配合音乐，可供学习参考。-Image Recognition- Recognition hand knowledge C++, can be based on image recognition of human action, and gives corresponding music, available for reference study. Platform: |
Size: 2169856 |
Author:赵鹏 |
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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: CVPR2008行为识别文章“Action Snippets: How many frames does human action recognition require?”源代码，测试过可以运行。-source code of paper "Action Snippets: How many frames does human action recognition require?" in CVPR2008，it works according to my test. Platform: |
Size: 9194496 |
Author:彭小江 |
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Description: 一篇关于总结了行为识别各种资源的论文，涵盖了通常的数据集、兴趣点检测，特征提取的方法以及识别检测的算法-A paper that summarizes the various resources of behavior recognition, covering the normal data set, the interest point detection, feature extraction methods and the identification detection algorithm Platform: |
Size: 301056 |
Author:fly.xiao |
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Description: 基于关键点梯度特征描述的人体行为识别算法 -基于关键点梯度特征描述的人体行为识别算法
Human action recognition algorithm based on key points to describe the gradient feature
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Size: 454656 |
Author:fanfan |
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Description: 基于运动与外形特征的人体行为识别 -Human action recognition based on characteristics of movement and shape
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Size: 259072 |
Author:fanfan |
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Description: the folder gives the human action recognition code. various actions of human can be identified by using text files and frames in the video. actions like walking normal, complex, sitting are identified. Platform: |
Size: 22892544 |
Author:padmapriya |
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Description: 便携式肌电信号采集和人体动作识别，使用的飞思卡尔的芯片，文件包含工程和解释性文件-portable EMG signal detection and human action collect, use freescale microchip ,file includes source code and explain files Platform: |
Size: 4889600 |
Author:jiangke |
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Description: This paper advances prior work by proposing a joint learning
framework to simultaneously identify the spatial and temporal
extents of the action of interest in training videos. To get pixel-level
localization results, our method uses dense trajectories extracted
videos as local features to represent actions. We first
present a trajectory split-and-merge algorithm to segment a video
into the background and several separated foreground moving
objects. In this algorithm, the inherent temporal smoothness
of human actions is exploited to facilitate segmentation. Then,
with the latent SVM framework on segmentation results, spatial
and temporal extents of the action of interest are treated as
latent variables that are inferred simultaneously with action
recognition. Experiments on two challenging datasets show that
action detection with our learned spatial and temporal extents is
superior than state-of-the-art methods. Platform: |
Size: 4917248 |
Author:robin |
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Description: This paper presents a new algorithm for human action
recognition in videos. This algorithm is based on a combination of
two different feature types extracted from Aligned Motion Images
(AMIs). The AMI is a method for capturing the motion of all frames
in a human action video in one image. Platform: |
Size: 1661952 |
Author:nabb |
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Search - human action recognition