Non-Cooperative Target Tracking, Fusion and Control

Non-Cooperative Target Tracking, Fusion and Control

Algorithms and Advances

Jing, Zhongliang; Dong, Peng; Pan, Han; Li, Yuankai

Springer International Publishing AG

07/2018

340

Dura

Inglês

9783319907154

15 a 20 dias

5347

Descrição não disponível.
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.
multi-target tracking;visual target tracking;multi-target Bayesian filter;Multi-focus image fusion;oversampled filter banks;probabilistic visual tracking;pulse coupled neural network;control of spacecraft maneuvers;remote sensing/photogrammetry