STHARNet: spatio-temporal human action recognition network in content based video retrieval
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-14056-8.pdf
Reference24 articles.
1. Abdelbaky A, Aly S (2021) Two-stream spatiotemporal feature fusion for human action recognition. Visual Comput 37(7):1821–1835
2. Ahmed A, Aly S (2020) Human action recognition using short-time motion energy template images and pcanet features. Neural Comput Appl:1–14
3. Chen H, Hu C, Lee F, Lin C, Yao W, Chen L, Chen Q (2021) A supervised video hashing method based on a deep 3D convolutional neural network for large-scale video retrieval. Sensors 21(9):3094
4. Dai C, Liu X, Lai J (2020) Human action recognition using two-stream attention based LSTM networks. Appl Soft Comput 86:105820
5. Jalal A, Akhtar I, Kim K (2020) Human posture estimation and sustainable events classification via pseudo-2D stick model and K-ary tree hashing. Sustainability 12(23):9814
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1. Residual deep gated recurrent unit-based attention framework for human activity recognition by exploiting dilated features;The Visual Computer;2024-02-06
2. Deep Learning Approach for Human Action Recognition Using a Time Saliency Map Based on Motion Features Considering Camera Movement and Shot in Video Image Sequences;Information;2023-11-15
3. Depth-based human action recognition using histogram of templates;Multimedia Tools and Applications;2023-10-09
4. Review on Human Action Recognition in Smart Living: Sensing Technology, Multimodality, Real-Time Processing, Interoperability, and Resource-Constrained Processing;Sensors;2023-06-02
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