41. Vgrajena zasebnost pri videonadzoru prometaJAKOB KREFT, 2023, bachelor thesis/paper Keywords: Detekcija prometa, zasebnost, zamegljene slike, Raspberry Pi, DETR, format COCO, baza slik Full text (file, 22,28 MB) |
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43. Avtomatsko ločevanje neoluščenega prosa od prosene kašeMarko Brodarič, 2023, master's thesis/paper Keywords: optično sortiranje, prosena kaša, računalniški vid, globoke nevronske mreže, enorazredno zaznavanje anomalij, CS-Flow, PaDiM Full text (file, 4,39 MB) |
44. Vodenje pogonskega modula na zračni potisk na električnem ploviluDominik Bernik, 2024, undergraduate thesis Keywords: Raspberry Pi, senzor sile, zaprtozančni sistem, regulator PID, Matlab, pogonski sistem za vodno plovilo, pogonski modul Full text (file, 5,31 MB) |
45. Quantitative contact-less estimation of energy expenditure from video and 3D imageryGregor Koporec, Goran Vučković, Radoje Milić, Janez Perš, 2018, original scientific article Keywords: physical activity, energy expenditure, computer vision, optical flow, scene flow, heart rate, support vector machine, RBF kernel, KCF tracker, Microsoft Kinect, time-of-flight sensor, squash Full text (file, 7,87 MB) This document has more files! More... |
46. Cognitive relevance transform for population re-targetingGregor Koporec, Andrej Košir, Aleš Leonardis, Janez Perš, 2020, original scientific article Keywords: cognitive relevance, deep learning, crowd-sourcing, target user population, categorization, classification Full text (file, 4,62 MB) This document has more files! More... |
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48. Tracking by identification using computer vision and radioRok Mandeljc, Stanislav Kovačič, Matej Kristan, Janez Perš, 2013, original scientific article Keywords: person localization, identification, tracking, radio, computer vision, multi-camera, sensor fusion, tracking-by-identification Full text (file, 1,24 MB) This document has more files! More... |
49. A one-dimensional non-intrusive and privacy-preserving identification system for householdsTomaž Kompara, Janez Perš, David Susič, Matjaž Gams, 2021, original scientific article Keywords: one-dimensional depth sensor, biometrics, identification, machine learning Full text (file, 1,72 MB) This document has more files! More... |
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