[PDF] Top 20 Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition
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Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition
... dynamic graph topology via position and motion of the skeleton and then apply them as a prior to the GCN recognition ...novel Spatio-Temporal Graph Routing (STGR) scheme ... See full document
8
Action recognition using length-variable edge trajectory and spatio-temporal motion skeleton descriptor
... and based on the proposed encoding method, the motion similarity is computed under Euclidean ...motion skeleton within 256 dimensional, so the video can be represented by a 256-dimension STMS ... See full document
15
A Hybrid Feature Extraction Approach for Human Action Recognition System based on Skeleton Data
... human skeleton data is interpreted as a graph and its edge weights based on the distances between all of the joint pairs are ...of skeleton is represented as a spatio-temporal ... See full document
8
Learning action recognition model from depth and skeleton videos
... Human action recognition has been explored from differ- ent aspects during the recent ...depth, skeleton and skeleton depth video based ...video based action ... See full document
10
Real-time whole-body action recognition in videos using threshold hidden markov model
... sequences. Recognition is performed by comparing this skeleton with each first key frame and select the most similar, the consequent frames is compared with the next and so ...their ... See full document
10
Spatio-Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks
... Each skeleton sequence is encoded in a single color image via a skeleton-based representation called ...models based on deep DenseNet [54], a recent state-of-the-art architecture for image ... See full document
25
Spatial temporal graph convolutional networks for skeleton-based dynamic hand gesture recognition
... gesture recognition methods play an important role in human-computer ...are skeleton-based recognition techniques that seem to be ...a skeleton, constructing simple graphs for ... See full document
7
Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition
... NTU-RGB+D. NTU-RGB+D is the largest dataset with annotated 3D joint coordinates for the human action recog- nition task (Shahroudy et al. 2016). This dataset whose data captured in constrained lab environments are ... See full document
8
Attention module based spatial temporal graph convolutional networks for skeleton based action recognition
... The spatial temporal graph convolutional networks ST-GCN automatically learn both the temporal and spatial features from the skeleton data, and achieve remarkable performance for skeleto[r] ... See full document
34
Ensemble Spatio-Temporal Distance Net for Skeleton Based Action Recognition
... depth, skeleton joints, RGB data and inertial sensor data. The skeleton is represented by using 20 ...an action four ...431 action sequences in the training set and 430 in the testing ... See full document
10
Spatio-temporal approach to moving window block kriging of satellite data v1.0
... of spatio-temporal covariance Existing studies have used a number of models to estimate spatio-temporal covariances for a variety of ... See full document
12
Multi Task Learning Organize (MTLN) of Skeleton Sequences Based 3D Action Recognition
... a skeleton sequence (a), three clips (b) corresponding to the three channels of the cylindrical coordinates are ...a temporal mean pooling (TMP) layer (d) are used to extract a compact representation from ... See full document
8
Graph-based correlated topic model for trajectory clustering in crowded videos
... erating the LLC codes as low-level features, defining the STG between the trajectory segments and supporting the topic learning process with initial clusters help to improve the computational aspects of topic modelling. ... See full document
10
McMaster Mesonet soil moisture dataset: description and spatio temporal variability analysis
... high spatio-temporal ...a spatio-temporal and temporal stability analysis were conducted to identify spatio-temporal patterns in the data and to suggest some physical ... See full document
18
Improving Action Recognition using Temporal Regions
... and recognition [Lu et ...the action recognition task in videos have been proposed in several recent works [Monteiro et ...human action recognition in ... See full document
16
Silhouette based gait recognition using Procrustes shape analysis and elliptic Fourier descriptors
... STM-SPP has several desirable advantages, which make it suitable for real-world applications. The shape analysis at the ten specific phases of a gait period and gait period detection by the application of DTW aids ... See full document
27
Hierarchical Gradient Similarity Based Video Quality Assessment Metric
... the spatio-temporal gradient vector also contains the components of the spatial version, the similarity of the spatio-temporal gradient vector is used to model the dorsal ...the ... See full document
7
Temporal Bilinear Networks for Video Action Recognition
... CNN-based action recog- nition is 3D CNNs, which extend convolution operations into the temporal domain (Ji et ...extraction. Based on a more powerful CNN architecture, I3D (Carreira and ... See full document
8
Semi-supervised spatio-temporal CNN for recognition of surgical workflow
... The temporal information is very important for recogni- tion of surgical workflow; in order to distinguish between different phases of surgery, we need to combine context to make logical ...unsupervised ... See full document
9
Thermal spatio-temporal data for stress recognition
... rates, provided that VS images had strong illumination [33]. Due to the fact that TS videos are defined by colors and different color variations, LBP-TOP features may not be able to fully exploit thermal information pro- ... See full document
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