Online multi-object tracking using multi-function integration and tracking simulation training
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02457-5
Abstract: Recently, with the development of deep-learning, the performance of multi-object tracking algorithms based on deep neural networks has been greatly improved. However, most methods separate different functional modules into multiple networks and train them independently… read more here.
Keywords: online multi; object tracking; appearance features; multi object ... See more keywords
Online Multi-Component Cognitive Strategy Instruction for Cochlear Implant Users: Reading Comprehension.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of deaf studies and deaf education"
DOI: 10.1093/deafed/enac017
Abstract: The aim of this study was to examine the effect of online multi-component strategy instruction (MCCSI) on students with cochlear implants (CIs) regarding their reading comprehension. Moreover, it was to examine whether the students maintained… read more here.
Keywords: multi component; online multi; reading comprehension; online ... See more keywords
Real-Time Online Multi-Object Tracking in Compressed Domain
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2921975
Abstract: Recent online multi-object tracking (MOT) methods have achieved desirable tracking performance. However, the tracking speed of most existing methods is rather slow. Inspired from the fact that the adjacent frames are highly relevant and redundant,… read more here.
Keywords: online multi; compressed domain; object tracking; online ... See more keywords
Online Multi-Object Tracking With Visual and Radar Features
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2994000
Abstract: Multi-object tracking (MOT) constructs multiple object trajectories by associating detections between consecutive frames while maintaining object identities. In many autonomous systems equipped with a camera and a radar, an amplitude and visual features can be… read more here.
Keywords: online multi; mot; tracking visual; object tracking ... See more keywords
Online Multi-Object Tracking Using Hierarchical Constraints for Complex Scenarios
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2017.2750058
Abstract: Online multi-object tracking (MOT) in an intelligent vehicle platform aims at locating the surrounding objects in real time, which remains far from being solved in complex scenarios, due to various motion patterns of tracked objects… read more here.
Keywords: mot; complex scenarios; object tracking; tracking using ... See more keywords
Online Multi-Object Tracking Using Joint Domain Information in Traffic Scenarios
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2019.2892413
Abstract: Visual tracking of multiple objects is an essential component for a perception system in autonomous driving vehicles. One of the favorable approaches is the tracking-by-detection paradigm, which links current detection hypotheses to previously estimated object… read more here.
Keywords: time; online multi; approach; domain ... See more keywords
EEG-Based Driver Drowsiness Estimation Using an Online Multi-View and Transfer TSK Fuzzy System
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.2973673
Abstract: In the field of intelligent transportation, transfer learning (TL) is often used to recognize EEG-based drowsy driving for a new subject with few subject-specific calibration data. However, most of existing TL-based models are offline, non-transparent,… read more here.
Keywords: fuzzy system; multi view; online multi; view ... See more keywords
Online Multi-View Learning With Knowledge Registration Units.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3256390
Abstract: In this work, we investigate online multi-view learning according to the multi-view complementarity and consistency principles to memorably process online multi-view data when fused across views. Online diverse features through different deep feature extractors under… read more here.
Keywords: view; online multi; view learning; knowledge ... See more keywords