Results 21 to 30 of about 4,899,620 (258)

Structure-Preserving Binary Representations for RGB-D Action Recognition [PDF]

, 2015
In this paper, we propose a novel binary local representation for RGB-D video data fusion with a structure-preserving projection. Our contribution consists of two aspects.
Liu, Li, Shao, Ling, Yu, Mengyang
core   +1 more source

Human Action Recognition Method Based on Action-Time Perception [PDF]

Jisuanji gongcheng
To address the problem of redundant information in action videos and the sparse distribution of feature channels in action information, a 3D residual network based on action-time perception is proposed.
WANG Xiaolu, WEN Jianrong
doaj   +1 more source

Statistical Machine Learning for Human Behaviour Analysis

Entropy, 2020
Human behaviour analysis has introduced several challenges in various fields, such as applied information theory, affective computing, robotics, biometrics and pattern recognition [...]
Thomas B. Moeslund, Sergio Escalera, Gholamreza Anbarjafari, Kamal Nasrollahi, Jun Wan   +4 more
doaj   +1 more source

Deep Learning based Human Action Recognition [PDF]

ITM Web of Conferences, 2021
Human action recognition has become an important research area in the fields of computer vision, image processing, and human-machine or human-object interaction due to its large number of real time applications.
Pandey Ritik, Chikhale Yadnesh, Verma Ritik, Patil Deepali   +3 more
doaj   +1 more source

Action recognition by discriminative EdgeBoxes

IET Computer Vision, 2018
Due to the huge number of online videos uploaded and viewed every day, there is an emerging need nowadays for the action recognition techniques. Applying these techniques in uncontrolled and realistic videos is still a challenging task, considering the ...
Mohammed El‐Masry, Mohamed Waleed Fakhr, Mohammed A.‐M. Salem   +2 more
doaj   +1 more source

Compressed video ensemble based pseudo-labeling for semi-supervised action recognition

Machine Learning with Applications, 2022
Some recent studies have focused on deep learning based semi-supervised learning for action recognition. However, it is difficult to scale up their training because their input is RGB frames, the obtainment of which incurs computational and storage costs.
Hayato Terao, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto   +3 more
doaj   +1 more source

Short-Term Action Learning for Video Action Recognition

IEEE Access
For a long-term complex Action, it is typically composed of various short-term Actions. The speed and importance of these short-term Actions directly affect the recognition results.
Liu Ting-Long
doaj   +1 more source

Meta‐action descriptor for action recognition in RGBD video

IET Computer Vision, 2017
Action recognition is one of the hottest research topics in computer vision. Recent methods represent actions based on global or local video features. These approaches, however, lack semantic structure and may not provide a deep insight into the essence ...
Min Huang, Song‐Zhi Su, Guo‐Rong Cai, Hong‐Bo Zhang, Donglin Cao, Shao‐Zi Li   +5 more
doaj   +1 more source

Convolutional Block Attention Module–Multimodal Feature-Fusion Action Recognition: Enabling Miner Unsafe Action Recognition

Sensors
The unsafe action of miners is one of the main causes of mine accidents. Research on underground miner unsafe action recognition based on computer vision enables relatively accurate real-time recognition of unsafe action among underground miners.
Yu Wang, Xiaoqing Chen, Jiaoqun Li, Zengxiang Lu   +3 more
doaj   +1 more source

Dynamic Equilibrium Module for Action Recognition

IEEE Access, 2021
Temporal variations, such as sudden motion, acceleration and occlusions, occur frequently in real-world videos and force video-modeling networks to account for them. However. often they are not beneficial for recognizing actions at coarse granularity and
Qili Zeng, M. Ozan Tezcan, Janusz Konrad
doaj   +1 more source