In this paper we propose a novel methodology to estimate the true velocity of fast moving targets using a single synthetic aperture radar sensor without increasing the Pulse Repetition Frequency. The basic reasoning is that, although the returned echoes may be aliased in the azimuth direction, its phase is informative with respect to the moving target trajectory parameters. We will use this kno...

| The paper presents a novel methodology for determining the velocity and location of multiple moving targets using a single stripmap synthetic aperture radar (SAR) sensor. The so-called azimuth position uncertainty problem is therefore solved. The method exploits the structure of the amplitude and phase modulations of the returned echo from a moving target in the Fourier domain. A crucial step...

Manual reaction time (RT) responses were analyzed from seven human subjects. Responses were recorded using four kinds of target presentations: fixed visual target, moving visual target, fixed auditory target, and moving auditory target. Moving targets (moving in the horizontal plane) were presented at constant intensity and provided only a motion cue. Fixed targets "popped on" at the primary po...

Conventional Synthetic Aperture Radar processing leads to moving targets being imaged displaced from their real positions and blurred. This is mainly due to the used reference phase no longer being valid, including an additional Doppler-shift and a Doppler-spread. Since these effects are not considered in the focusing algorithm, the resulting SAR image shows the moving targets defocused and/or ...

This paper describes an end-to-end method for extracting moving targets from a real-time video stream, classifying them into predeened categories according to image-based properties, and then robustly tracking them. Moving targets are detected using the pixelwise diierence between consecutive image frames. A classi-catoin metric is applied these targets with a temporal consistency constraint to...

This paper describes an end-to-end method for extracting moving targets from a real-time video stream, classifying them into predefined categories according to imagebased properties, and then robustly tracking them. Moving targets are detected using the pixel wise difference between consecutive image frames. A classification metric is applied these targets with a temporal consistency constraint...

the most current pursuit algorithms for moving targets which are presented so far in the literatureare pure pursuit and pure rendezvous navigations. recently, one of the present authors has introduced ageometric model for the pure pursuit navigation algorithm. here, in this paper, we study a new algorithm forthe pursuit navigation problem which is a combination of both of the above algorithms. ...

Three experiments using rapid serial visual presentation (RSVP) tested participants' ability to detect targets in streams that are in motion. These experiments compared the ability to identify moving versus stationary RSVP targets and examined the attentional blink with pairs of targets that were moving or stationary. One condition presented RSVP streams in the center of the screen; a second co...