Abstract:
:Humans employ interacting bottom-up and top-down processes to significantly speed up search and recognition of particular targets. We describe a new model of attention guidance for efficient and scalable first-stage search and recognition with many objects (117,174 images of 1147 objects were tested, and 40 satellite images). Performance for recognition is on par or better than SIFT and HMAX, while being, respectively, 1500 and 279 times faster. The model is also used for top-down guided search, finding a desired object in a 5x5 search array within four attempts, and improving performance for finding houses in satellite images.
journal_name
Vision Resjournal_title
Vision researchauthors
Elazary L,Itti Ldoi
10.1016/j.visres.2010.01.002subject
Has Abstractpub_date
2010-06-25 00:00:00pages
1338-52issue
14eissn
0042-6989issn
1878-5646pii
S0042-6989(10)00005-2journal_volume
50pub_type
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