Results 261 to 270 of about 7,594,062 (311)
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IEEE transactions on circuits and systems for video technology (Print)
Existing gait recognition methods are capable of extracting rich spatial gait information but often overlook fine-grained temporal features within local regions and temporal contextual information across different sub-regions.
Wenzheng Zhai +3 more
semanticscholar +1 more source
Existing gait recognition methods are capable of extracting rich spatial gait information but often overlook fine-grained temporal features within local regions and temporal contextual information across different sub-regions.
Wenzheng Zhai +3 more
semanticscholar +1 more source
Spatial-Temporal Skeleton Feature: An Unit-Level Feature for Temporal Action Proposal Generation
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2019Temporal Action Proposal generation is an important issue in the field of action detection. In this study, we introduce a novel unit-level feature called Spatial-Temporal Skeleton Feature (STSF). It combines skeleton features and optical flow features for extracting the temporal action proposal.
Tingting Chen +5 more
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Learning Effective Spatial–Temporal Features for sEMG Armband-Based Gesture Recognition
IEEE Internet of Things Journal, 2020Surface electromyography (sEMG) armband-based gesture recognition is an active research topic that aims to identify hand gestures with a single row of sEMG electrodes.
Yingwei Zhang +4 more
semanticscholar +1 more source
Programs, computations and temporal features
1976Predicate Logic is a natural support to computing systems: computation and deduction are closely related. The way to describe proof strategies can clarify the theoretical soundness of programming. This description involves the clarification of the role of control statements.
Marco Colombetti, Enrico Pagello
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Salient Features of Temporal and Spatio-Temporal Metamaterials
2018 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2018In this communication we explore both analytically and numerically the exciting phenomena that can be obtained when the electromagnetic material parameters (permittivity and/or permeability) are rapidly changed in time. We will show how such a temporal change can be exploited to achieve phase conjugation of a monochromatic wave using a rapid periodic ...
Victor Pacheco-Pena +3 more
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Short‐term traffic congestion prediction with Conv–BiLSTM considering spatio‐temporal features
IET Intelligent Transport Systems, 2020For many intelligent transportation applications, traffic congestion prediction is quite essential. If traffic congestion on the road ahead can be accurately and promptly predicted, and routes can be planned reasonably based on the prediction results ...
Tao Li +4 more
semanticscholar +1 more source
Temporal Filtering to Stabilize Features for SLAM
2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2019The stable and robust detection of features from LiDAR data is a key component of feature-based SLAM systems. Their extraction often produces a high spatial uncertainty due to the sparse information of the raw laser scan compared to other sensor data, e.g. images.We present a new approach which filters features within a certain temporal window.
Marc Forstenhäusler +2 more
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Structural and temporal patterns-based features
2013 1st International Workshop on Data Analysis Patterns in Software Engineering (DAPSE), 2013In this paper, we propose a data transformation pattern to transform sequential data into a set of binary/categorical features and numerical features to enable data analysis. These features capture both structural and temporal information inherent in sequential data.
Venkatesh-Prasad Ranganath +1 more
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A fast human action recognition network based on spatio-temporal features
Neurocomputing, 2020Artificial intelligence models are widely used in the field of human activity recognition, and human action recognition is an important aspect of human activity recognition.
Jie Xu +5 more
semanticscholar +1 more source
Fusing Transformer Model with Temporal Features for ECG Heartbeat Classification
IEEE International Conference on Bioinformatics and Biomedicine, 2019ECG heartbeat classification plays a vital role in diagnosis of cardiac arrhythmia. Traditional heartbeat classification methods rely on handcrafted features and often fail to learn potentially abstract patterns, while current deep learning based methods
Genshen Yan +3 more
semanticscholar +1 more source