Video-based driver action recognition via hybrid spatial–temporal deep learning framework
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DOI: 10.1007/s00530-020-00724-y
Abstract: Driver action recognition aims to distinguish normal driver action and some abnormal driver actions such as leaving the wheel, talking on the phone, diving with smoking, etc. For the purpose of traffic safety, studies on… read more here.
Keywords: action recognition; driver; driver action; spatial temporal ... See more keywords
Improved SSD using deep multi-scale attention spatial–temporal features for action recognition
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DOI: 10.1007/s00530-021-00831-4
Abstract: The biggest difference between video-based action recognition and image-based action recognition is that the former has an extra feature of time dimension. Most methods of action recognition based on deep learning adopt: (1) using 3D… read more here.
Keywords: temporal features; attention; action recognition; multi scale ... See more keywords
A deep unified framework for suspicious action recognition
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DOI: 10.1007/s10015-018-0518-y
Abstract: As action recognition undergoes change as a field under influence of the recent deep learning trend, and while research in areas such as background subtraction, object segmentation and action classification is steadily progressing, experiments devoted… read more here.
Keywords: action recognition; deep unified; unified framework; suspicious action ... See more keywords
Multi-view region-adaptive multi-temporal DMM and RGB action recognition
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DOI: 10.1007/s10044-020-00886-5
Abstract: Human action recognition remains an important yet challenging task. This work proposes a novel action recognition system. It uses a novel multi-view region-adaptive multi-resolution-in-time depth motion map (MV-RAMDMM) formulation combined with appearance information. Multi-stream 3D… read more here.
Keywords: multi view; action recognition; region adaptive; action ... See more keywords
Triplet attention multiple spacetime-semantic graph convolutional network for skeleton-based action recognition
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DOI: 10.1007/s10489-021-02370-x
Abstract: Skeleton-based action recognition has recently attracted widespread attention in the field of computer vision. Previous studies on skeleton-based action recognition are susceptible to interferences from redundant video frames in judging complex actions but ignore the… read more here.
Keywords: action recognition; spacetime semantic; attention; skeleton based ... See more keywords
An individualized system of skeletal data-based CNN classifiers for action recognition in manufacturing assembly
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DOI: 10.1007/s10845-021-01815-x
Abstract: Real-time Action Recognition (ActRgn) of assembly workers can timely assist manufacturers in correcting human mistakes and improving task performance. Yet, recognizing worker actions in assembly reliably is challenging because such actions are complex and fine-grained,… read more here.
Keywords: action recognition; skeletal data; system; cnn ... See more keywords
Action recognition from point cloud patches using discrete orthogonal moments
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DOI: 10.1007/s11042-017-4711-0
Abstract: Abstract3D sensors such as standoff Light Detection and Ranging (LIDAR) generate partial 3D point clouds that resemble patches of irregularly-shaped, coarse groups of points. 3D modeling of this type of data for human action recognition… read more here.
Keywords: action recognition; point; point cloud; action ... See more keywords
Combining ConvNets with hand-crafted features for action recognition based on an HMM-SVM classifier
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DOI: 10.1007/s11042-017-5335-0
Abstract: This paper proposes a new framework for RGB-D-based action recognition that takes advantages of hand-designed features from skeleton data and deeply learned features from depth maps, and exploits effectively both the local and global temporal… read more here.
Keywords: action recognition; hmm svm; recognition; hand ... See more keywords
Open-view human action recognition based on linear discriminant analysis
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DOI: 10.1007/s11042-018-5657-6
Abstract: In the last decades, action recognition task has evolved from single view recording to unconstrained environment. Recently, multi-view action recognition has become a hot topic in computer vision. However, we notice that only a few… read more here.
Keywords: action recognition; open view; view action; view ... See more keywords
Action recognition based on multi-stage jointly training convolutional network
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DOI: 10.1007/s11042-018-6622-0
Abstract: In this paper, we consider multi-stage jointly training two-stream convolutional neural network for action recognition in videos. The challenge of action recognition is to extract appearance and motion information to describe actions efficiently and to… read more here.
Keywords: action recognition; multi stage; action; jointly training ... See more keywords
ConvNets-based action recognition from skeleton motion maps
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DOI: 10.1007/s11042-019-08261-1
Abstract: With the advance of deep learning, deep learning based action recognition is an important research topic in computer vision. The skeleton sequence is often encoded into an image to better use Convolutional Neural Networks (ConvNets)… read more here.
Keywords: action recognition; skeleton motion; based action; action ... See more keywords