A Survey of Applications and Human Motion Recognition with Microsoft Kinect

By Roanna Lun, Wenbing Zhao. 2015

265 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, 3D Vision & Pose, Human-Computer Interaction

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Citations in the corpus

NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis (2016, background): “For a more extensive list of current 3D activity analysis datasets and methods, readers are referred to these survey papers [47, 1, 5, 12, 21, 45, 3].”
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding (2019, background): “Readers are referred to these survey papers [31], [32], [33], [34], [35], [36] for a more extensive list of the current 3D activity analysis datasets and methods.”
RGB-D-based action recognition datasets: A survey (2016, background): “However, available RGB-D-based datasets have insofar only been briefly summarised or enumerated without comprehensive coverage and in-depth analysis in the survey papers, such as [9,10], that mainly focus on the development of RGB-D-based action recognition algorithms.”
Space-Time Representation of People Based on 3D Skeletal Data: A Review (2016, background): “Several earlier surveys were also published to review methods to recognize human poses, motions, gestures, and activities [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], as well as their applications [49], [50].”
Vision-based human activity recognition: a survey (2020, methodology): “In some previous works [4, 12, 25, 32, 60, 74, 107, 143, 189, 204, 237], HAR systems have been extensively reviewed and discussed.”
Large-scale Isolated Gesture Recognition using pyramidal 3D convolutional networks (2016, background): “Kinect revolution makes inexpensive infrared cameras providing image depth information available, thus multimodalities (including RGB, Depth, Optical Flow, Skeleton) based gesture recognition methods emerge [4, 18] after that.”
Human Action Recognition From Various Data Modalities: A Review (2020, methodology): “Lun and Zhao [19] gave a survey of HAR using Microsoft Kinect [28] with the template-based and algorithmic-based”