LEADER 00907nam a2200241 i 4500 001 991001482289707536 005 20020502194426.0 008 970427s1991 it ||| | ita 020 $a8815032347 035 $ab11519150-39ule_inst 035 $aPRUMB61877$9ExL 040 $aScuola per assistenti sociali$bita 100 1 $aHirschman, Albert O.$0111032 245 10$aRetoriche dell'intransigenza :$bperversità, futilità, messa a repentaglio /$cAlbert O. Hirschman 260 $aBologna :$bIl Mulino,$c1991 300 $a176 p. ;$c21 cm. 490 0 $aIntersezioni ;$v93 907 $a.b11519150$b01-03-17$c01-07-02 912 $a991001482289707536 945 $aLE024 SOC/D SR II 6$g1$i2024000006082$lle021$nex DUSS$o-$pE0.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i11714621$z01-07-02 996 $aRetoriche dell'intransigenza$9814474 997 $aUNISALENTO 998 $ale021$b01-01-97$cm$da $e-$fita$git $h0$i1 LEADER 04774nam 22007455 450 001 9911015630903321 005 20250702130232.0 010 $a981-9645-58-1 024 7 $a10.1007/978-981-96-4558-9 035 $a(MiAaPQ)EBC32189513 035 $a(Au-PeEL)EBL32189513 035 $a(CKB)39567920000041 035 $a(OCoLC)1526862286 035 $a(DE-He213)978-981-96-4558-9 035 $a(EXLCZ)9939567920000041 100 $a20250702d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aVisual Object Tracking $eAn Evaluation Perspective /$fby Xin Zhao, Shiyu Hu, Xu-Cheng Yin 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (224 pages) 225 1 $aAdvances in Computer Vision and Pattern Recognition,$x2191-6594 311 08$a981-9645-57-3 327 $aTask Introduction -- Experimental Environment -- Algorithms -- Humans -- Machine-to-Machine Comparisons -- Visual Turing Test: Machine-to-Machine Comparisons -- More Human-like Task Design -- More Realistic Data Environment -- More Human-like Executors -- More Intelligent Evaluation. 330 $aThis book delves into visual object tracking (VOT), a fundamental aspect of computer vision crucial for replicating human dynamic vision, with applications ranging from self-driving vehicles to surveillance systems. Despite significant strides propelled by deep learning, challenges such as target deformation and motion persist, exposing a disparity between cutting-edge VOT systems and human performance. This observation underscores the necessity to thoroughly scrutinize and enhance evaluation methodologies within VOT research. Hence, the primary objective of this book is to equip readers with essential insights into dynamic visual tasks encapsulated by VOT. Beginning with the elucidation of task definitions, it integrates interdisciplinary perspectives on evaluation techniques. The book is organized into five parts, tracing the evolution of VOT from perceptual to cognitive intelligence, exploring the experimental frameworks utilized in assessments, analyzing the various agents involved, including tracking algorithms and human visual tracking, and dissecting evaluation mechanisms through both machine?machine and human?machine comparisons. Furthermore, it examines the trend toward crafting more human-like task definitions and comprehensive evaluation frameworks to effectively gauge machine intelligence. This book serves as a roadmap for researchers aiming to grasp the bottlenecks in VOT capabilities and comprehend the gaps between current methodologies and human abilities, all geared toward advancing algorithmic intelligence. It also delves into the realm of data-centric AI, emphasizing the pivotal role of high-quality datasets and evaluation systems in the age of large language models (LLMs). Such systems are indispensable for training AI models while ensuring their safety and reliability. Utilizing VOT as a case study, the book offers detailed insights into these facets of data-centric AI research. Designed to cater to readers with foundational knowledge in computer vision, it employs diagrams and examples to facilitate comprehension, providing essential groundwork for understanding key technical components. 410 0$aAdvances in Computer Vision and Pattern Recognition,$x2191-6594 606 $aComputer vision 606 $aImage processing 606 $aArtificial intelligence 606 $aMachine learning 606 $aArtificial intelligence$xData processing 606 $aElectronic digital computers$xEvaluation 606 $aComputer Vision 606 $aImage Processing 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aData Science 606 $aSystem Performance and Evaluation 615 0$aComputer vision. 615 0$aImage processing. 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aArtificial intelligence$xData processing. 615 0$aElectronic digital computers$xEvaluation. 615 14$aComputer Vision. 615 24$aImage Processing. 615 24$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aData Science. 615 24$aSystem Performance and Evaluation. 676 $a006.37 700 $aZhao$b Xin$01287691 701 $aHu$b Shiyu$01833353 701 $aYin$b Xu-Cheng$01735032 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911015630903321 996 $aVisual Object Tracking$94408292 997 $aUNINA