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: 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: 人体运动视觉分析主要包括运动目标检测、 运动 目标分类 、 人体运动跟踪、 人体行为识别与描述四个环
节 ， 在多领域具有广阔的应用前景． 本文从上述四个方面综述了人体运动分析的研究现状， 对人体运动分析的热点
难点进行讨论 ， 对可能的发展方向进行阐述和展望．-Visual analysis includes moving object detection,moving object classfication,human tracking and activity recognition and description. It has broad application prospects in many fields, such as smart vision surveillance,visual reality, intelligent human-computer interface,video compression and computer-aided clinical diagnosis. Acomprehensive survey on vision-based human motion analysis is presented from the above four aspects,and the challenges and future directions are discussed. Platform: |
Size: 700416 |
Author:有来有去 |
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Description: 本书从机器学习的角度介绍了基于视觉的运动分析领域的最新算法和系统。-Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition.
Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most act Platform: |
Size: 10570752 |
Author:kankan |
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Description: Centinela is a human activity recognition system based on data from an accelerometer and sensor unit. This is powerpoint presentation on a pervasive compurting application.-Centinela is a human activity recognition system based on data from an accelerometer and sensor unit. This is powerpoint presentation on a pervasive compurting application. Platform: |
Size: 718848 |
Author:shruthi rajan |
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Description: A feature selection based framework for human activity recognition using wearable multimodal sensors Platform: |
Size: 208896 |
Author:by |
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Description: In this programe, a four-dimensional spatiotemporal shape context
descriptor is introduced and used for human activity recognition in video Platform: |
Size: 238592 |
Author:doski |
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Description: This a knn test file, used for human activity recognition, the knn is based on matlab knn algorithm.-This is a knn test file, used for human activity recognition, the knn is based on matlab knn algorithm. Platform: |
Size: 2343936 |
Author:chiang |
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Description: 一份用tensorflow平台做的cnn分类时序信号，是分类UCI 项目中的人体活动识别（HAR）数据集。该数据集包含原始的时序数据和经预处理的数据（包含 561 个特征）(A CNN classification timing signal made by tensorflow platform is a human activity recognition (HAR) dataset in the classified UCI project. The dataset contains original time series data and preprocessed data (including 561 characteristics).) Platform: |
Size: 57816064 |
Author:ant_me |
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Description: 与经典的方法相比，使用具有长时间记忆细胞的递归神经网络(RNN)不需要或几乎不需要特征工程。数据可以直接输入到神经网络中，神经网络就像一个黑匣子，可以正确地对问题进行建模。其他研究在活动识别数据集上可以使用大量的特征工程，这是一种与经典数据科学技术相结合的信号处理方法。这里的方法在数据预处理的数量方面非常简单(Compared with the classical methods, the recursive neural network (RNN) with long-term memory cells does not need or almost need feature engineering. Data can be directly input into the neural network, which acts as a black box and can correctly model the problem. Other research can use a lot of Feature Engineering on activity recognition data sets, which is a signal processing method combined with classical data science and technology. The method here is very simple in terms of the number of data preprocessing) Platform: |
Size: 266240 |
Author:一片真心 |
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