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Target tracking - a Bayesian perspective
2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628), 2003Target tracking algorithms are often thought of as a conglomeration of a number of unrelated techniques and tricks. However, they all have firm foundations in recursive Bayesian logic. In this paper, we review the Bayesian underpinnings of several target tracking algorithms and highlight the assumptions under which appropriate Bayesian recursions are ...
Subhash Challa +2 more
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Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009
This paper deals with the problem of tracking target sets using a model predictive control (MPC) law. Some MPC applications require a control strategy in which some system outputs are controlled within specified ranges or zones (zone control), while some others variables - possibly including input variables - are steered to fixed target or set-point ...
Antonio Ferramosca +4 more
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This paper deals with the problem of tracking target sets using a model predictive control (MPC) law. Some MPC applications require a control strategy in which some system outputs are controlled within specified ranges or zones (zone control), while some others variables - possibly including input variables - are steered to fixed target or set-point ...
Antonio Ferramosca +4 more
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Smoothing for maneuvering target tracking
2006 9th International Conference on Information Fusion, 2006Smoothing algorithms for maneuvering target tracking with nonlinear target dynamic and measurement equations are described and investigated. Target motion is represented using a multiple model approach. Techniques based on the interacting multiple model filter (IMMF), hypothesis pruning and maximum a posteriori (MAP) estimation of the maneuvering mode ...
Mark R. Morelande, Branko Ristic 0001
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Track Score and Target Existence
2006 9th International Conference on Information Fusion, 2006Automatic target tracking in clutter initiates and updates both true tracks and false tracks. True tracks follow targets, and false tracks do not. False track discrimination is the procedure which confirms (vast majority of) true tracks, and terminates (vast majority of) false tracks.
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Adaptive Target-Oriented Tracking
ACM Transactions on Intelligent Systems and TechnologyThe current one-stream tracking pipelines are early relation modeling in feature extraction. However, insufficient discrimination may result in ambiguous relation modeling during early feature extraction. Moreover, the non-target information occupies most of the search image, rendering most relation modeling futile.
Sixian Chan 0001 +6 more
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Tracking TRALI in target populations
Blood, 2011A prospective, case-controlled study in cardiac surgery reveals a high incidence (2.4%) of TRALI despite the introduction of plasma from male donors, indicating a need for additional interventions in susceptible populations.
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Surveillance technologies played a key part of the US War on Terror in Afghanistan during the two decades of occupation. The US military—and its Afghan partners—employed various high-tech instruments to identify and track potential enemies. Biometric data, in particular, was employed as a weapon of choice in building what the American generals called ...
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Robust Multi-Drone Multi-Target Tracking to Resolve Target Occlusion: A Benchmark
IEEE Transactions on Multimedia, 2023Qinghua Hu, Pengfei Zhu, Yu Wang
exaly
Track Coalescence Avoidance in Multi-target Tracking
2023 4th International Conference on Advancements in Computational Sciences (ICACS), 2023Sufyan Ali Memon +2 more
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