Details

Title

Histogram of Oriented Gradients with Cell Average Brightness for Human Detection

Journal title

Metrology and Measurement Systems

Yearbook

2016

Volume

vol. 23

Issue

No 1

Authors

Keywords

igital image processing ; object detection ; human detection

Divisions of PAS

Nauki Techniczne

Coverage

27-36

Publisher

Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation

Date

2016.03.30

Type

Artykuły / Articles

Identifier

DOI: 10.1515/mms-2016-0012 ; ISSN 2080-9050, e-ISSN 2300-1941

Source

Metrology and Measurement Systems; 2016; vol. 23; No 1; 27-36

References

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.
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