Non-Cooperative Target Tracking, Fusion and Control: Algorithms and Advances - Couverture souple
Livre 1 sur 9: Information Fusion and Data Science
Synopsis
Introduction.- Part I Multi-Target Tracking.- Gaussian mixture CPHD filter with gating technique.- Detection-guided multi-target Bayesian filter.- On the sensor order in sequential integrated probability data association filter.- New method for dynamic bias estimation: Gaussian mean shift registration.- Part II Visual Target Tracking.- Learning-based appearance model for probabilistic visual tracking.- Incremental visual tracking with L1 norm approximation and Grassmann update.- A dual-kernel-based tracking approach for visual target.- Kernel joint visual tracking and recognition based on structured sparse representation.- Part III Image Fusion and Deblurring.- A simple method to build oversampled filter banks and tight frames.- Multi-focus image fusion using pulse coupled neural network.- Evaluation of focus measures in multi-focus image fusion.- Multi-modality image fusion via generalized Riesz-wavelet transformation.- A sparse proximal Newton splitting method for constrained image deblurring.- Part IV Control of Spacecraft Maneuvers.- Maneuver-aided active satellite tracking using six-DOF optimal dynamic inversion control.- Dynamic optimal sliding-mode control for six-DOF follow-up robust tracking of active satellite.- Redundant adaptive robust tracking of active satellite and error evaluation.
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