Szczegóły Szczegóły PDF BIBTEX RIS Tytuł artykułu Histogram of Oriented Gradients with Cell Average Brightness for Human Detection Tytuł czasopisma Metrology and Measurement Systems Rocznik 2016 Wolumin vol. 23 Numer No 1 Autorzy Wójcikowski, Marek Słowa kluczowe igital image processing ; object detection ; human detection Wydział PAN Nauki Techniczne Zakres 27-36 Wydawca Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation Data 2016.03.30 Typ Artykuły / Articles Identyfikator DOI: 10.1515/mms-2016-0012 ; ISSN 2080-9050, e-ISSN 2300-1941 Źródło Metrology and Measurement Systems; 2016; vol. 23; No 1; 27-36 Referencje Zhu (2006), Fast human detection using a cascade of histograms of oriented gradients Vision Pattern Recognit, Proc IEEE Int Conf Comput, 2, 491. ; Geismann (2010), Speeding Up HOG and LBP Features for Pedestrian Detection by Multiresolution Techniques th Symposium Advances in Visual Computing Las, Proc Int USA, 6, 243. ; Cui (2010), A novel approach of analog fault classification using a Support Vector Machines classifier, Metrol Meas Syst, 17, 561, doi.org/10.2478/v10178-010-0046-0 ; Zeng (2008), Real - time video surveillance based on combining foreground extraction and human detection th Multimedia Modeling Conf Kyoto Japan, Proc Int, 14, 70. ; Chen (2008), Fast human detection using a novel boosted cascading structure with meta stages, IEEE Trans Image Process, 17, 1452, doi.org/10.1109/TIP.2008.926152 ; Everingham (2006), The PASCAL Visual Object Classes Challenge Results Technical Report of Oxford, Univ. ; Zhang (2013), Object Detection via Structural Feature Selection and Shape Model, IEEE Trans Image Process, 22, 4984, doi.org/10.1109/TIP.2013.2281406 ; Ma (2013), Integrating Orientation Cue With EOH - OLBP - Based Multilevel Features for Human Detection, IEEE Trans Circuits Syst Video Technol, 23, 1755, doi.org/10.1109/TCSVT.2013.2268991 ; Dalal (2005), Histograms of oriented gradients for human detection Vision Pattern Recognit, Proc IEEE Int Conf Comput, 886. ; Wojtowicz (2015), Fall detector using discrete wavelet decomposition and SVM classifier, Metrol Meas Syst, 22, 303, doi.org/10.1515/mms-2015-0026 ; Cheng (2013), Segmentation of Pedestrians with Confidence Level Computation of Signal Processing Systems, Journal, 72, 87. ; Zeng (2010), Fast human detection using mi - sVM and a cascade of HOG - LBP features th on Image Processing, Proc IEEE Int Conf, 17, 3845. ; Viola (2001), Rapid object detection using a boosted cascade of simple features Vision Pattern Recognit, Proc IEEE Int Conf Comput, 511. ; Cortes (1995), Support - vector network Learning, Machine, 20, 273, doi.org/10.1007/BF00994018 ; Wang (2009), An HOG - LBP human detector with partial occlusion handling on Comput Vision Kyoto, Proc IEEE Int Conf, 32. ; Ma (2011), A monocular human detection system based on EOH and oriented LBP features th, Proc Int Conf Adv Visual Comput, 7, 551, doi.org/10.1007/978-3-642-24028-7_51 ; Takagi (2014), A Real - time Scalable Object Detection System using Low - power HOG Accelerator VLSI of Signal Processing Systems, Journal. ; Crow (1984), Summed - area tables for texture mapping of SIGGRAPH, Proc, 18, 207. ; Boser (1992), A training algorithm for optimal margin classifiers Fifth Annual Workshop on Computational Learning Theory ACM, Proc, 144. ; Jendernalik (2013), Analogue CMOS ASICs in image processing systems, Metrol Meas Syst, 20, 613, doi.org/10.2478/mms-2013-0052 ; Lowe (2004), Distinctive Image Features from Scale - Invariant Keypoints of Comput Vision, Int Journal, 60, 91.