Human action recognition using fusion of multiview and deep features: an application to video surveillance
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Title
Human action recognition using fusion of multiview and deep features: an application to video surveillance
Authors
Keywords
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Journal
MULTIMEDIA TOOLS AND APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-03-14
DOI
10.1007/s11042-020-08806-9
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Note: Only part of the references are listed.- Multi-level features fusion and selection for human gait recognition: an optimized framework of Bayesian model and binomial distribution
- (2019) Habiba Arshad et al. International Journal of Machine Learning and Cybernetics
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- (2019) Amin Ullah et al. Future Generation Computer Systems-The International Journal of eScience
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- (2019) Saleh Aly et al. MULTIMEDIA TOOLS AND APPLICATIONS
- View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition
- (2019) Pengfei Zhang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Order-aware convolutional pooling for video based action recognition
- (2019) Peng Wang et al. PATTERN RECOGNITION
- Human Behavior Analysis Based on Multi-Types Features Fusion and Von Nauman Entropy Based Features Reduction
- (2019) Khursheed Aurangzeb et al. Journal of Medical Imaging and Health Informatics
- Human action recognition using two-stream attention based LSTM networks
- (2019) Cheng Dai et al. APPLIED SOFT COMPUTING
- Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition
- (2019) Muhammad Attique Khan et al. APPLIED SOFT COMPUTING
- Improved strategy for human action recognition; experiencing a cascaded design
- (2019) Muhammad Attique Khan et al. IET Image Processing
- A Machine Learning Method with Threshold Based Parallel Feature Fusion and Feature Selection for Automated Gait Recognition
- (2019) Muhammad Sharif et al. Journal of Organizational and End User Computing
- Exploiting deep residual networks for human action recognition from skeletal data
- (2018) Huy-Hieu Pham et al. COMPUTER VISION AND IMAGE UNDERSTANDING
- Action Recognition From Arbitrary Views Using Transferable Dictionary Learning
- (2018) Jingtian Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Multi-stream CNN: Learning representations based on human-related regions for action recognition
- (2018) Zhigang Tu et al. PATTERN RECOGNITION
- A framework for offline signature verification system: Best features selection approach
- (2018) Muhammad Sharif et al. PATTERN RECOGNITION LETTERS
- Deep Convolutional Neural Networks for Human Action Recognition Using Depth Maps and Postures
- (2018) Aouaidjia Kamel et al. IEEE Transactions on Systems Man Cybernetics-Systems
- TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition
- (2018) Chih-Yao Ma et al. SIGNAL PROCESSING-IMAGE COMMUNICATION
- Human action recognition based on the Grassmann multi-graph embedding
- (2018) Sahere Rahimi et al. Signal Image and Video Processing
- Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and SIFT point features
- (2018) Muhammad Rashid et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Asymmetric 3D Convolutional Neural Networks for action recognition
- (2018) Hao Yang et al. PATTERN RECOGNITION
- Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition
- (2017) An-An Liu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Multilinear Principal Component Analysis Network for Tensor Object Classification
- (2017) Jiasong Wu et al. IEEE Access
- Action recognition based on binary patterns of action-history and histogram of oriented gradient
- (2016) Md. Atiqur Rahman Ahad et al. Journal on Multimodal User Interfaces
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