Distributed multi-object tracking under limited field of view heterogeneous sensors with density clustering
Authors:
- Fei ChenFCFei Chen
- Hoa Van NguyenHNHoa Van Nguyen
- Alex S. LeongALAlex S. Leong
- Sabita PanickerSPSabita Panicker
- Robin BakerRBRobin Baker
- Damith C. RanasingheDRDamith C. Ranasinghe
Open Access
- 24 October 2024
- journal article
- research article
- Published by Elsevier in Signal Processing
- Vol. 228
Abstract
No abstract availableKeywords
Funding Information
- Defence Science and Technology Group
This publication has 70 references indexed in Scilit:
- Track initialization and re-identification for 3D multi-view multi-object trackingInformation Fusion, 2024
- ConservationBots: Autonomous aerial robot for fast robust wildlife tracking in complex terrainsJournal of Field Robotics, 2023
- Distributed multi-sensor multi-view fusion based on generalized covariance intersectionSignal Processing, 2020
- TrackerBots: Autonomous unmanned aerial vehicle for real‐time localization and tracking of multiple radio‐tagged animalsJournal of Field Robotics, 2019
- Cooperative robotic networks for underwater surveillance: an overviewIET Radar, Sonar & Navigation, 2017
- Multi-source homogeneous data clustering for multi-target detection from cluttered background with misdetectionApplied Soft Computing, 2017
- Clustering for filtering: Multi-object detection and estimation using multiple/massive sensorsInformation Sciences, 2017
- Comparing the performance of biomedical clustering methodsNature Methods, 2015
- Mobile Underwater Sensor Networks for Protection and Security: Field Experience at the UAN11 ExperimentJournal of Field Robotics, 2013
- Rock: A robust clustering algorithm for categorical attributesInformation Systems, 2000