G Yao, T Lei, J Zhong - Pattern Recognition Letters, 2019 - Elsevier
Video action recognition is widely applied in video indexing, intelligent surveillance, multimedia understanding, and other fields. Recently, it was greatly improved by …
In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey …
Advances in deep learning over the last decade have led to a flurry of research in the application of deep artificial neural networks to robotic systems, with at least 30 papers …
S Ji, W Xu, M Yang, K Yu - IEEE transactions on pattern …, 2012 - ieeexplore.ieee.org
We consider the automated recognition of human actions in surveillance videos. Most current methods build classifiers based on complex handcrafted features computed from the …
Z Wang, J Ren, D Zhang, M Sun, J Jiang - Neurocomputing, 2018 - Elsevier
Although research on detection of saliency and visual attention has been active over recent years, most of the existing work focuses on still image rather than video based saliency. In …
Deep learning (DL) has proven to be a highly effective approach for developing models in diverse contexts, including visual perception, speech recognition, and machine translation …
PK Singh, S Kundu, T Adhikary, R Sarkar… - … Methods in Engineering, 2021 - Springer
Abstract Human Action Recognition (HAR) has achieved a remarkable milestone in the field of computer vision. Apart from its varied applications in human–computer interactions …
A substantial increase in the number of surveillance camera systems has not delivered the promised deterrent effects or investigative case evidence and their usefulness has been …
MH Wani, AR Faridi - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Video action recognition refers to the process of recognizing human actions in a video. The field of action recognition encompasses a wide variety of high-impact societal applications …