LEADER 03749nam 2200589 a 450 001 9910483787103321 005 20200520144314.0 010 $a3-540-32760-6 024 7 $a10.1007/11682110 035 $a(CKB)1000000000232854 035 $a(SSID)ssj0000320651 035 $a(PQKBManifestationID)11256860 035 $a(PQKBTitleCode)TC0000320651 035 $a(PQKBWorkID)10249580 035 $a(PQKB)10664284 035 $a(DE-He213)978-3-540-32760-8 035 $a(MiAaPQ)EBC3067672 035 $a(PPN)123132150 035 $a(EXLCZ)991000000000232854 100 $a20060126d2006 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aVOCUS $ea visual attention system for object detection and goal-directed search /$fSimone Frintrop 205 $a1st ed. 2006. 210 $aBerlin ;$aNew York $cSpringer$dc2006 215 $a1 online resource (XIV, 216 p.) 225 1 $aLecture notes in computer science. Lecture notes in artificial intelligence,$x0302-9743 ;$v3899 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-32759-2 320 $aIncludes bibliographical references and index. 327 $a1 Introduction -- 2 Background on Visual Attention -- 3 State of the Art of Computational Attention Systems -- 4 The Visual Attention System VOCUS: Bottom-Up Part -- 5 The Visual Attention System VOCUS: Top-Down Extension -- 6 Sensor Fusion -- 7 Attentive Classification -- 8 Conclusion -- A Basics of Computer Vision -- B The Viola-Jones Classifier -- C Explanation of Color Figures. 330 $aObject detection and recognition is a topic of significant interest in computer and robot vision. It is required in most applications of computational vision, for example, biometric systems, medical imaging, intelligent cars, factory automation, and image databases. One of the major challenges in designing object recognition systems is to construct methods that are fast and capable of operating on standard computer platforms. The more developed such systems become, the more urgent becomes the need for a pre-selection system that enables subsequent processing to focus only on relevant data. One mechanism to achieve this is visual attention: it selects regions in a visual scene that are most likely to contain objects of interest. The field of visual attention is currently the focus of much research for both biological and artificial systems. This monograph presents a complete computational system for visual attention and object detection: VOCUS (Visual Object detection with a CompUtational attention System) is a system capable of automatically selecting regions of interest in images and detecting specific objects. It represents a major step forward on integrating data-driven and model-driven information into a single framework. Additionally, the volume contains an extensive review of the literature on visual attention, detailed evaluations of VOCUS in different settings, and applications of the system in the context of object recognition and robotics. 410 0$aLecture notes in computer science.$pLecture notes in artificial intelligence ;$v3899. 517 1 $aVisual attention system for object detection and goal-directed search 606 $aVisual perception$xData processing 606 $aAttention 606 $aComputer vision 615 0$aVisual perception$xData processing. 615 0$aAttention. 615 0$aComputer vision. 676 $a629.8/92637 700 $aFrintrop$b Simone$0508813 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483787103321 996 $aVOCUS$94187625 997 $aUNINA