We present a computational model exploring goal-directed deployment of attention during object tracking. Once selected, objects are tracked in parallel, but serial attention can be directed to an object that is visually crowded and in danger of being lost. An attended object’s future position can be extrapolated from its past motion trajectory, allowing the object to be tracked even when it is ...

Trajectory Prediction (TP) is an important research topic in computer vision and robotics fields. Recently, many stochastic TP models have been proposed to deal with this problem achieved better performance than the traditional deterministic trajectory outputs. However, these can generate a number of future trajectories different qualities. They are lack self-evaluation ability, that is, examin...

A method for mining frequent patterns of individual user trajectories is proposed based on location semantics. The semantic trajectory obtained by inverse geocoding and preprocessed to obtain the Top-k candidate item sets, then spatio-temporal sequence intersection divide conquer merge methods are used convert iterative calculation long itemsets into hierarchical sets' regular operations, super...

The quantification of aircraft level benefits like the reduction of mass, drag, power offtake, and consequently fuel burn is a key aspect in assessing new technologies like green taxiing systems, electrical environmental control systems, and optimized aircraft trajectories. A basic means to determine these deltas is a detailed dynamic model of the aircraft containing the flight dynamics, kinema...

In the paper we present a solution to the optimal trajectory planning problem subject to constraints given by joint torques and velocities, and the task. The main result is a trajectory planning algorithm which enables the calculation of the optimal motion due to the given requirements and taking into account the dynamics of the manipulator. First, the dynamic model of the manipulator in the pa...

In this paper, a study of topology of Hidden Markov Model (HMM) used in speech recognition is addressed. Our main contribution is the introduction of the notion of trajectory folding phenomenon of HMM. In complex phonetic contexts and in speaker-variability, this phenomenon degrades the discriminability of HMM. The goal of this paper is to give some explanation and experimental evidence suggest...

in this paper, optimization and control of a tubular reactor for thermal bulk post-polymerization of styrene have been investigated. by using the reactor mathematical model, static and dynamic simulations are carried out. based on an objective function including polymer conversion and polydispersity, reactor optimal temperature profile has been obtained. in the absence of model mismatch, desire...

The aim of this study was to model the variances and covariances of body weight in Zandi sheep from 60 to 365 days of age using random regression models (RRM). Legendre polynomials of different orders were used to model the direct and maternal covariances. Mean trends were also modeled through a quadratic regression on orthogonal polynomials of age. Homogeneity and heterogeneity of the residual...