background and aim: spatial hearing is one of the most important functions of binaural hearing processing that is based on detection of fine interaural time and interaural intensity difference. spatial hearing is beyond auditory localization and lateralization. it helps auditory scene analysis and target stream segregation from other simultaneous sound sources. this function is important in spe...

recently, time reversal (tr) method, due to its high functionality in heterogeneous media has been widely employed in microwave imaging (mi) applications. one of the applications turning into a great interest is through-wall microwave imaging (twmi). in this paper, tr method is applied to detect and localize a target obscured by a brick wall using a numerically generated data. regarding this, i...

Recently, time reversal (TR) method, due to its high functionality in heterogeneous media has been widely employed in microwave imaging (MI) applications. One of the applications turning into a great interest is through-wall microwave imaging (TWMI). In this paper, TR method is applied to detect and localize a target obscured by a brick wall using a numerically generated data. Regarding this, i...

Partially observable Markov decision processes (POMDPs) offer a principled approach to control under uncertainty. However, POMDP solvers generally require rewards to depend only on the state and action. This limitation is unsuitable for information-gathering problems, where rewards are more naturally expressed as functions of belief. In this work, we consider target localization, an information...

An embracing hotchpotch application of wireless sensor networks is tracking or locating the moving target in the surveillance area. In this paper, we have projected an optimization framework using a selective approach algorithm for locating an object and to improve the energy of sensors. By this algorithm, the sensors placed in the region of target alone go to awake mode. So the energy is saved...

In this paper, we present a tracking method with robust target localization for tracking of visual objects. We use an adaptive appearance model that incorporates structural information to avoid drifts and can be updated incrementally using partial models. The proposed method works especially well for aerial surveillance sequences where the objects of interest are small and detecting robust feat...