Spatio-temporal action recognition: A survey

A Bhoi - arXiv preprint arXiv:1901.09403, 2019 - arxiv.org
… When we consider spatio-temporal action recognition, we deal with action localization. This
… Each filter is 3D and has size Ni−1 × d × d, where d denotes spatial width and height. Even …

Spatio-Temporal Information Fusion and Filtration for Human Action Recognition

M Zhang, X Li, Q Wu - Symmetry, 2023 - mdpi.com
… W and H denote the width and height of the projection images, … spatio-temporal information
filtration module is designed to perform information purification on the fused spatio-temporal

Spatiotemporal attention enhanced features fusion network for action recognition

D Zhuang, M Jiang, J Kong, T Liu - International Journal of Machine …, 2021 - Springer
… In recent years, action recognition has become a popular and … jointly and get excellent
action classification results. But … effectiveness of our proposed network for action recognition. …

Machine vision-based human action recognition using spatio-temporal motion features (STMF) with difference intensity distance group pattern (DIDGP)

J Arunnehru, S Thalapathiraj, R Dhanasekar… - Electronics, 2022 - mdpi.com
… A motion estimation system helps to match a target person … the performance of the activity
recognition approach. Harris … 30 fps, and one person’s height is approximately 200 pixels in the …

Spatio-temporal deformable 3d convnets with attention for action recognition

J Li, X Liu, M Zhang, D Wang - Pattern Recognition, 2020 - Elsevier
… of 3D convolution filters largely limits the learning capacity for video action recognition. To
… window, and h, w respectively denote the height and the width of the feature map. Similarly, …

Spatio-temporal features in action recognition using 3D skeletal joints

M Trăscău, M Nan, AM Florea - Sensors, 2019 - mdpi.com
… The problem of recognizing human activity using the RGB image … : height of the person, the
scene in which the action takes place, … Activity recognition and abnormality detection with the …

Depthwise spatio-temporal STFT convolutional neural networks for human action recognition

S Kumawat, M Verma, Y Nakashima… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… To address these issues, we propose spatio-temporal short-term … linear weights for learning
channel correlations. The STFT blocks … Our extensive evaluation on seven action recognition

Two-stream spatiotemporal feature fusion for human action recognition

A Abdelbaky, S Aly - The Visual Computer, 2021 - Springer
… In this paper, we propose a novel human action recognition method by fusing spatial and …
Action mach a spatio-temporal maximum average correlation height filter for action recognition

[PDF][PDF] Skepxels: Spatio-temporal image representation of human skeleton joints for action recognition.

J Liu, N Akhtar, A Mian - CVPR workshops, 2019 - openaccess.thecvf.com
… resulting images by over eight folds to match the input size of pre-… through a series of adaptive
filter banks. Their approach is … , the height of the sensors and their distances to the action

Video spatiotemporal mapping for human action recognition by convolutional neural network

A Zare, H Abrishami Moghaddam, A Sharifi - Pattern Analysis and …, 2020 - Springer
… [17] introduced DeepConvLSTM network for activity recognition from … the fixed height
parameter for resizing the VSTMs height … Accordingly, the number of filters associated to each …