Results 71 to 80 of about 8,410,900 (380)
Short-Term Action Learning for Video Action Recognition
IEEE AccessFor 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
Lightweight Semantic-Guided Neural Networks Based on Single Head Attention for Action Recognition
Sensors, 2022 Skeleton-based action recognition can achieve a relatively high performance by transforming the human skeleton structure in an image into a graph and applying action recognition based on structural changes in the body.
Seon-Bin Kim +3 more
doaj +1 more source
ODN: Opening the Deep Network for Open-set Action Recognition
, 2019 In recent years, the performance of action recognition has been significantly improved with the help of deep neural networks. Most of the existing action recognition works hold the \textit{closed-set} assumption that all action categories are known ...
Shi, Yemin +5 more
core +1 more source
Research on Human Motion Recognition Based on Data Redundancy Technology
Complexity, 2021 Aiming at the problems of low recognition rate and slow recognition speed of traditional body action recognition methods, a human action recognition method based on data deduplication technology is proposed.
Hong-Lan Yang +2 more
doaj +1 more source
Two-Stream Action Recognition-Oriented Video Super-Resolution
, 2019 We study the video super-resolution (SR) problem for facilitating video analytics tasks, e.g. action recognition, instead of for visual quality. The popular action recognition methods based on convolutional networks, exemplified by two-stream networks ...
Liu, Dong, Xiong, Zhiwei, Zhang, Haochen
core +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 +5 more
doaj +1 more source
Robust recognition and segmentation of human actions using HMMs with missing observations [PDF]
, 2005 This paper describes the integration of missing observation data with hidden Markov models to create a framework that is able to segment and classify individual actions from a stream of human motion using an incomplete 3D human pose estimation.
Bui, Hung H. +3 more
core +3 more sources
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition [PDF]
Computer Vision and Pattern Recognition, 2019 Skeleton-based action recognition is an important task that requires the adequate understanding of movement characteristics of a human action from the given skeleton sequence.
Chenyang Si +4 more
semanticscholar +1 more source
Rank Pooling for Action Recognition [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 IEEE Transactions on Pattern Analysis and Machine ...
Basura Fernando +4 more
openaire +5 more sources
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
, 2019 Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition.
Duan, Ling-Yu +5 more
core +1 more source