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- research-articleAugust 2019
A Crowdsensing-based Cyber-physical System for Drone Surveillance Using Random Finite Set Theory
ACM Transactions on Cyber-Physical Systems (TCPS), Volume 3, Issue 4Article No.: 42, Pages 1–22https://doi.org/10.1145/3342049Given the popularity of drones for leisure, commercial, and government (e.g., military) usage, there is increasing focus on drone regulation. For example, how can the city council or some government agency detect and track drones more efficiently and ...
- research-articleJanuary 2019
Multiple cell tracking by generalised labelled multi-Bernoulli filter
International Journal of Computer Applications in Technology (IJCAT), Volume 61, Issue 42019, Pages 273–277https://doi.org/10.1504/ijcat.2019.103296Cell detection and tracking in microscopy images are of great importance to medical research and related fields. In this paper, a generalised labelled multi-Bernoulli (GLMB) track-before-detect (TBD) filter is proposed for the tracking of multiple cells. ...
- research-articleJanuary 2016
Localization from semantic observations via the matrix permanent
International Journal of Robotics Research (RBRS), Volume 35, Issue 1-3Jan 2016, Pages 73–99https://doi.org/10.1177/0278364915596589Most approaches to robot localization rely on low-level geometric features such as points, lines, and planes. In this paper, we use object recognition to obtain semantic information from the robot’s sensors and consider the task ...
- ArticleAugust 2015
Cooperative Multi-sensor Multi-vehicle Localization in Vehicular Adhoc Networks
IRI '15: Proceedings of the 2015 IEEE International Conference on Information Reuse and IntegrationAugust 2015, Pages 142–149https://doi.org/10.1109/IRI.2015.31Intelligent Transportation System (ITS) is an important application domain for information reuse and integration. Efficient integration and deployment of information and communication technologies (ICT) can potentially reduce travel time and emission, ...
- ArticleNovember 2013
Maneuvering Targets Track-Before-Detect Using Multiple-Model Multi-Bernoulli Filtering
ITA '13: Proceedings of the 2013 International Conference on Information Technology and ApplicationsNovember 2013, Pages 348–353https://doi.org/10.1109/ITA.2013.86Target tracking using unthresholded raw data under low signal-to-noise ratio circumstance, also referred to as track-before-detect, is a challenging task, especially for the case with varying target number and uncertain target dynamics. This paper deals ...
- ArticleOctober 2012
Free-Clustering Optimal Particle PHD Filter for Multi-target Tracking
ICECC '12: Proceedings of the 2012 International Conference on Electronics, Communications and ControlOctober 2012, Pages 1164–1167Analytical expression of the optimal sampling density for the particle probability hypothesis density (PHD) filter is difficult to obtain, and the filter performance degradation is caused by clustering to extract the targets state. A free-clustering ...
- ArticleSeptember 2007
Tracking multiple speakers using CPHD filter
MM '07: Proceedings of the 15th ACM international conference on MultimediaSeptember 2007, Pages 529–532https://doi.org/10.1145/1291233.1291363In this paper, we present an efficient method for tracking multiple speakers in a reverberant environment. The proposed method is based on the cardinalized probability hypothesis density (CPHD) filter. Because the CPHD filter can handle a large amount ...
- research-articleSeptember 2006
Tracking an unknown time-varying number of speakers using TDOA measurements: a random finite set approach
IEEE Transactions on Signal Processing (TSP), Volume 54, Issue 9September 2006, Pages 3291–3304https://doi.org/10.1109/TSP.2006.877658Speaker location estimation techniques based on time-difference-of-arrival measurements have attracted much attention recently. Many existing localization ideas assume that only one speaker is active at a time. In this paper, we focus on a more ...