In the literature approximate Bayesian approaches towards maintaining tracks of multiple maneuvering targets from unassociated measurements have focussed on the development of combinations of Interacting Multiple Model (IMM) and Joint Probabilistic Data Association (JPDA) approaches. Initially, combinations of IMM and JPDA have been developed along two heuristic directions. Bar-Shalom et al. [4...

We study metrics on the shape space of curves that induce a prescribed splitting of the tangent bundle. More specifically, we consider reparametrization invariant metrics G on the space Imm(S,R) of parametrized regular curves. For many metrics the tangent space TcImm(S ,R) at each curve c splits into vertical and horizontal components (with respect to the projection onto the shape space Bi(S ,R...

The role of calcium/calmodulin-dependent protein kinase II (CaMKII) in the recognition memory of visual imprinting was investigated. Domestic chicks were exposed to a training stimulus and learning strength measured. Trained chicks, together with untrained chicks, were killed either 1 h or 24 h after training. The intermediate and medial hyperstriatum ventrale/mesopallium (IMHV/IMM), a forebrai...

For maneuvering target tracking with multiple passive sensors in clutter environment, a novel tracking algorithm based on maximum entropy fuzzy clustering is proposed. Firstly, the interacting multiple models (IMM) approach is used to solve the maneuver problem of the target, and the false alarms generated by clutter are accommodated through maximum entropy fuzzy probabilistic data association ...

The fault identification in a scenario of multiple concurrent faults is studied for an internal combustion engine exposed to sensor, actuator and structural faults. The focus is on numerical feasible algorithms with fixed timespace behavior that are suitable for real-time application. Two methodologies are tested in simulation. First we show that a single extended Kalman Filter (eKF) can be use...

In order to make full use of measurement information provided by sensors on the aerial carriers and efficiently make maneuvering target tracking under complicated conditions, this paper studies tracking methods of joint maneuvering target by airborne radar and Electronic Support Measure (ESM). Based on Interacted Multiple Model-Blue Linear Unbiased Estimation (IMM-BLUE) algorithm, this paper we...

The problem of developing a unified algorithm for arrival aircraft target tracking and Estimated Time of Arrival (ETA) prediction is approached from a hybrid linear systems approach. Discrete-time hybrid state models are derived and two state estimation algorithms, the Interacting Multiple Model (IMM) and particle filtering with resampling, are implemented for target tracking. Along with the st...

In this paper, a novel image moments based model for shape estimation and tracking of an object moving with a complex trajectory is presented. The camera is assumed to be stationary looking at a moving object. Point features inside the object are sampled as measurements. An ellipsoidal approximation of the shape is assumed as a primitive shape. The shape of an ellipse is estimated using a combi...