Sentence examples for multiple model tracking from inspiring English sources

Multiple model tracking is included to be able to easily incorporate different kinds of prior knowledge.

The MM tracking algorithm is modified by incorporating the probability of target existence update to develop enhanced multiple model (EMM) tracking algorithm [5].

In this paper, a multiple model optimal tracking control (MOTC) design method for the double fed induction generator (DFIG) using correlative measured technique is proposed.

The multiple model (MM) tracking algorithm for an HPRF radar is proposed in [3], where each model proceeds in the probabilistic data association (PDA) [19] sense independently.

In Section 4 the specific models of on/off-road pedestrian motion and the infrared sensor are described in detail and the proposed multiple model pedestrian tracking particle filter is presented.

The smoothing window can be of any length N. The proposed method to smooth the target hybrid state at fixed lag is also applied to the enhanced multiple model (EMM) tracking algorithm.

The model tracks these as "embedded" stocks.

The example model tracks a single cell.

Other tracking methods using Interacting Multiple Model (IMM) and Multiple Hypothesis Tracking (MHT) techniques could be used to refine detection and data association [3].

The use of the road network for pedestrian tracking, enabling multiple model approaches is novel.

The Gaussian mixture measurement likelihood-integrated track splitting algorithm (GMM-ITS) [4] and the enhanced multiple model algorithm (EMM) (it incorporates the track quality measure in a multiple model algorithm (MM) [3]) are investigated in [5] for single-target tracking in clutter using an HPRF radar; both algorithms are capable of trajectory estimation and false track discrimination.