Improved SSD using deep multi-scale attention spatial–temporal features for action recognition
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Systems"
DOI: 10.1007/s00530-021-00831-4
Abstract: The biggest difference between video-based action recognition and image-based action recognition is that the former has an extra feature of time dimension. Most methods of action recognition based on deep learning adopt: (1) using 3D… read more here.
Keywords: temporal features; attention; action recognition; multi scale ... See more keywords
Calling activity and calls' temporal features inform about fish reproductive condition and spawning in three cultured Sciaenidae species
Sign Up to like & getrecommendations! Published in 2020 at "Aquaculture"
DOI: 10.1016/j.aquaculture.2020.735243
Abstract: Abstract Although many fish species are vocal, the use of fish sounds for aquaculture management and wild population protection has not received much attention. In this study, sound production of three members of the Sciaenidae… read more here.
Keywords: temporal features; spawning three; calling activity; activity calls ... See more keywords
A fast human action recognition network based on spatio-temporal features
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.04.150
Abstract: Abstract Artificial intelligence models are widely used in the field of human activity recognition, and human action recognition is an important aspect of human activity recognition. The core of human action recognition is to understand… read more here.
Keywords: action recognition; temporal features; spatio temporal; recognition ... See more keywords
Land-cover classification using multi-temporal GF-1 wide field view data
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1468106
Abstract: ABSTRACT Vegetation is an important land-cover type and its growth characteristics have potential for improving land-cover classification accuracy using remote-sensing data. However, due to lack of suitable remote-sensing data, temporal features are difficult to acquire… read more here.
Keywords: cover classification; temporal features; land; land cover ... See more keywords
Spatial-temporal features based EEG emotion recognition using GCN and LSTM.
Sign Up to like & getrecommendations! Published in 2023 at "Physiological measurement"
DOI: 10.1088/1361-6579/acd675
Abstract: OBJECTIVE emotion recognition on the basis of electroencephalography (EEG) signals has received a significant amount of attention in the areas of cognitive science and human-computer interaction (HCI). However, most existing studies either focus on one-dimensional… read more here.
Keywords: emotion; temporal features; seed; emotion recognition ... See more keywords
EESNN: Hybrid Deep Learning Empowered Spatial–Temporal Features for Network Intrusion Detection System
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3350197
Abstract: Intrusion detection systems (IDS) are crucial to network security by identifying and stopping harmful actions. The network intrusion data are blended into many typical instances due to the dynamic and time-varying networking surroundings. This leads… read more here.
Keywords: intrusion detection; network intrusion; intrusion; network ... See more keywords
A Novel Temporal Footprints-Based Framework for Fake News Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3490558
Abstract: With the evolution of social media platforms, the detection of fake news and misinformation is gaining popularity. Social media platforms are the fastest source of fake news propagation, whereas online news websites contribute to dissemination.… read more here.
Keywords: textual features; news; news detection; fake news ... See more keywords
FT-Loc: A Fine-Grained Temporal Features-Based Fusion Network for Indoor Localization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3299625
Abstract: Indoor location-based services (LBSs) are critical for enhancing social and commercial activities that require accurate and efficient localization techniques. Existing deep-learning-based indoor localization methods mainly focus on predefined global features to learn local discriminative representations,… read more here.
Keywords: indoor localization; fine grained; grained temporal; features based ... See more keywords
On Using Spatial and Temporal Features for Robust Multiuser Pose Estimation Based on WiFi CSI
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3572208
Abstract: Pose estimation based on WiFi channel state information (CSI) has gained popularity in recent years. Most existing works, however, focus only on scenarios with a single user. For those research endeavors on multiuser pose estimation,… read more here.
Keywords: estimation based; spatial temporal; pose estimation; estimation ... See more keywords
Deep Neural Networks for Learning Spatio-Temporal Features From Tomography Sensors
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2017.2716907
Abstract: We demonstrate accurate spatio-temporal gait data classification from raw tomography sensor data without the need to reconstruct images. This is based on a simple yet efficient machine learning methodology based on a convolutional neural network… read more here.
Keywords: temporal features; classification; spatio temporal; learning spatio ... See more keywords
Infrared Object-Tracking Algorithm With Temporal Features Fusion Siamese Network
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3335522
Abstract: Infrared object tracking is an important subfield of computer vision that has a wide range of applications in harsh tracking environments. However, the absence of color information and blurred video frames make infrared object tracking… read more here.
Keywords: information; features fusion; object tracking; feature ... See more keywords