Titlebook: Non-Cooperative Target Tracking, Fusion and Control; Algorithms and Advan Zhongliang Jing,Han Pan,Peng Dong Book 2018 Springer Internationa

扩张

朦胧

阐释

Incremental Visual Tracking with , Norm Approximation and Grassmann Updateld. The step size along the geodesic is important; an adaptive step-size strategy is given. The experimental results demonstrate that our tracking performance is superior to the other state-of-art trackers under many challenging tracking situations.

ROOF

火海

种植,培养

Target Tracking and Multi-Sensor Fusion with Adaptive Cubature Information Filtermate the dynamic state and time varying measurement noise for Gaussian nonlinear state space models. In the framework of recursive Bayesian estimation, the noise adaptive information filter propagating the information matrix and information state are derived. The integration of recursive Bayesian es

痛苦一生

condescend

Bearing-Only Multiple Target Tracking with the Sequential PHD Filter for Multi-Sensor Fusion estimation problem is a data association problem. In mathematics, the representation of data association problems leads to the generalization of the S-dimensional (S-D) assignment problem. Unfortunately, the complexity of solving an S-D assignment problem for . ≥ 3 is a nondeterministic polynomial

anesthesia

Joint Detection, Tracking, and Classification Using Finite Set Statistics and Generalized Bayesian Rernoulli (LMB) filter was presented under the framework of the conditional joint decision and estimation (JDE). A new generalized Bayesian risk is defined for the LMB variables involving the costs of target existence probability estimation, state estimation, and classification. Then the optimal solu

很是迷惑

Redundant Adaptive Robust Tracking for Active Satellitetellite tracking. To describe the orbital relative motion, a state model based on differential orbital elements (DOE) and a measurement model using unbiased converted measurements (UCM) are established first. Then, the switched .. robust filter to be presented is followed, which we called the redund