Statistical patterns of visual search for hidden objects
نویسندگان
چکیده
منابع مشابه
Statistical patterns of visual search for hidden objects
The movement of the eyes has been the subject of intensive research as a way to elucidate inner mechanisms of cognitive processes. A cognitive task that is rather frequent in our daily life is the visual search for hidden objects. Here we investigate through eye-tracking experiments the statistical properties associated with the search of target images embedded in a landscape of distractors. Sp...
متن کاملStatistical templates for visual search.
How do we find a target embedded in a scene? Within the framework of signal detection theory, this task is carried out by comparing each region of the scene with a "template," i.e., an internal representation of the search target. Here we ask what form this representation takes when the search target is a complex image with uncertain orientation. We examine three possible representations. The f...
متن کاملSearch Games with Multiple Hidden Objects
We consider a class of zero-sum search games in which a Searcher seeks to minimize the expected time to find several objects hidden by a Hider. We begin by analyzing a game in which the Searcher wishes to find k balls hidden among n > k boxes. There is a known cost of searching each box, and the Searcher seeks to minimize the total expected cost of finding all the objects in the worst case. We ...
متن کاملPanic search: fear produces efficient visual search for nonthreatening objects.
The ability to rapidly detect and respond to potentially threatening stimuli has survival value that has led researchers to posit that a threat detection system should have evolved within human cognitive architecture. LeDoux and his colleagues (Armony, Servan-Schreiber, Cohen, & LeDoux, 1997; LeDoux, 2000; Phelps & LeDoux, 2005) have proposed an early-warning system that is mediated by the amyg...
متن کاملMoving Objects Tracking Using Statistical Models
Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scientific Reports
سال: 2012
ISSN: 2045-2322
DOI: 10.1038/srep00920