Accurate and Real-Time 3D-LiDAR Multiobject Tracking Using Factor Graph Optimization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2023.3336221
Abstract: Accurate and real-time tracking of multiple moving objects in 3-D space is critical for intelligent transportation applications such as autonomous driving and traffic monitoring. However, tracking performance is often hindered by difficulties such as occlusion… read more here.
Keywords: graph optimization; real time; factor graph; multiobject tracking ... See more keywords
A Robust Multiobject Tracking Method Based on 4-D Millimeter-Wave Radar and Monocular Vision Fusion
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2024.3465019
Abstract: Multiobject tracking (MOT) is an important component of the perception system for autonomous vehicles and mobile robots. The 4-D millimeter-wave (MMW) radar is a novel and promising sensor for MOT for its capability to provide… read more here.
Keywords: radar monocular; fusion; millimeter wave; multiobject tracking ... See more keywords
DCGOFTracker: Dual-Cue Guidance and Occlusion-Friendly for Multiobject Tracking in Remote Sensing Videos
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3582679
Abstract: Mainstream multiobject tracking algorithms typically employ a joint detection and association approach. However, in remote sensing videos characterized by crowded scenes with numerous small objects and complex backgrounds, existing trackers often suffer from high rates… read more here.
Keywords: dual cue; multiobject tracking; remote sensing; occlusion friendly ... See more keywords
ARMOT: Robust Aerial Multiobject Tracking With Detail-Aware Detection and Dynamic Identity Association
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3624152
Abstract: Within intelligent transportation systems (ITS) and smart city applications, uncrewed aerial vehicle (UAV)-based multiobject tracking is a pivotal technology for the fine-grained analysis of dynamic traffic scenes. However, existing trackers are hampered by performance degradation… read more here.
Keywords: detection; detail; armot robust; multiobject tracking ... See more keywords
Multiscale Collaborative Attention Network for Robust Multiobject Tracking in Satellite Video
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3626807
Abstract: Satellite video has revolutionized Earth observation, offering unprecedented capabilities for automated object tracking. However, multiobject tracking (MOT) in satellite videos remains highly challenging due to complex backgrounds, extremely low signal-to-noise ratios (SNR), and subpixel-scale targets.… read more here.
Keywords: attention; multiobject tracking; collaborative attention; satellite video ... See more keywords
Dynamic Offloading on a Hybrid Edge–Cloud Architecture for Multiobject Tracking
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2022.3165571
Abstract: Multiobject tracking (MOT) using computer vision on smart cameras has become more popular owing to its continuously improving performance. However, the number of tracking targets may suddenly increase, which deteriorates the accuracy and robustness of… read more here.
Keywords: hybrid edge; edge cloud; offloading hybrid; multiobject tracking ... See more keywords
Robust Fusion for Multisensor Multiobject Tracking
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2018.2811750
Abstract: This letter proposes analytical expressions for the fusion of certain classes of labeled multiobject densities via Kullback–Leibler averaging. Specifically, we provide analytical fusion rules for the labeled multi-Bernoulli and marginalized $\delta$-generalized labeled multi-Bernoulli families of… read more here.
Keywords: fusion multisensor; multiobject; multisensor multiobject; fusion ... See more keywords