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Crowd density analysis using subspace learning on local binary pattern

Hajer Fradi, Xuran Zhao, Jean-Luc Dugelay
2013 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)  
; second, instead of using raw features to represent each patch sample, we propose to learn a discriminant subspace of the high-dimensional Local Binary Pattern (LBP) raw feature vector where samples of  ...  Crowd density analysis is a crucial component in visual surveillance for security monitoring. This paper proposes a novel approach for crowd density estimation.  ...  Finally, in [10] , a crowd density estimation approach using histogram model classification is proposed, where the histogram model is based on an improved uniform local binary pattern features.  ... 
doi:10.1109/icmew.2013.6618350 dblp:conf/icmcs/FradiZD13 fatcat:gwkln47gcbcvlj7bl57lr7swoe

A new multiclass SVM algorithm and its application to crowd density analysis using LBP features

Hajer Fradi, Jean-Luc Dugelay
2013 2013 IEEE International Conference on Image Processing  
The main contribution of this paper is two-fold: First, we propose to learn a discriminant subspace of the high-dimensional Local Binary Pattern (LBP) instead of using raw LBP feature vector.  ...  Crowd density analysis is a crucial component in visual surveillance for security monitoring.  ...  SUBSPACE LEARNING ON LOCAL BINARY PATTERN In this section, our proposed feature for crowd density estimation is presented [10] .  ... 
doi:10.1109/icip.2013.6738938 dblp:conf/icip/FradiD13 fatcat:mncpj5kmsvbkba2sibfzuvarqy

A Gabor Filter-Based Protocol for Automated Image-Based Building Detection

Hafiz Suliman Munawar, Riya Aggarwal, Zakria Qadir, Sara Imran Khan, Abbas Z. Kouzani, M. A. Parvez Mahmud
2021 Buildings  
A local feature extraction technique was implemented, which was used to calculate the probability density function.  ...  To resolve this situation, a novel probabilistic method has been suggested using local features and probabilistic approaches.  ...  [11] assessed the building extraction method based on remote sensing image via Gabor filter and multi-orientation π local binary pattern (LBP) operator.  ... 
doi:10.3390/buildings11070302 fatcat:i7jhnvinfvaojkfamsww3xmk4e

Multi-Dimension Support Vector Machine Based Crowd Detection and Localisation Framework for Varying Video Sequences

Manoharan Mahalakshmi, Radhakrishnan Kanthavel, Divakaran Thilagavathy Dinesh
2016 Circuits and Systems  
of oriented gradients (HOG) and 3) local binary pattern (LBP).  ...  In this paper, we propose a novel method for anomalous crowd behaviour detection and localization with divergent centers in intelligent video sequence through multiple SVM (support vector machines) based  ...  To construct a more comprehensive appearance model using additional feature-Grayscale, Histogram of Oriented Gradients, Local Binary Pattern, Gabor features and Gray Level Co-occurrence Matrix (GLCM) is  ... 
doi:10.4236/cs.2016.711303 fatcat:yx4tfwz36bannhmgov32ug5lcy

Implementation of Real Time Reconfigurable Embedded Architecture for People Counting in a Crowd Area [chapter]

Gong Songchenchen, El-Bay Bourennane
2018 Lecture Notes in Networks and Systems  
We propose a feature fusion method for crowd counting. By image feature extraction and texture feature analysis methods, data obtained from multiple sources are used to count the crowd.  ...  Using the support vector machine (SVM) classification technique, and regression analysis, we count the crowd with high density. The method gives good results in crowded scenes.  ...  The proposed approach consists of generating fully automatic and crowd density maps using local features as an observation of a probabilistic crowd function [12] [13] . * According to the people counting  ... 
doi:10.1007/978-3-030-05481-6_17 fatcat:3ffmevfly5hkxdxstfuett5iui

Crowd Management in Open Spaces [article]

Tauseef Ali, Ahmed B. Altamimi
2019 arXiv   pre-print
We have evaluated our method using a benchmark dataset and have presented details analysis.  ...  Crowd analysis and management is a challenging problem to ensure public safety and security. For this purpose, many techniques have been proposed to cope with various problems.  ...  In this paper, we presented a novel method for detecting interesting and anomalous events in crowded scenes. We proposed a holistic method that is independent of crowd density.  ... 
arXiv:1904.12625v1 fatcat:bfpw737marf3zehgawq3fgb5hi

People counting with image retrieval using compressed sensing

Homa Foroughi, Nilanjan Ray, Hong Zhang
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
The estimation of the number of people present in an image has many applications such as intelligent transportation, urban planning and crowd surveillance.  ...  Rather than conventional counting by detection or regression/machinelearning methods, we propose an image retrieval approach, which uses an image descriptor to estimate the people count.  ...  Although there has been a great progress in regression methods in the recent years, the "best" features set and/or kernel function is highly dependent to the crowd density, training set size and crowd  ... 
doi:10.1109/icassp.2014.6854424 dblp:conf/icassp/ForoughiRZ14 fatcat:o4vbpszqlnfvrkodr5qryxoqdu

Ocular biometrics: A survey of modalities and fusion approaches

Ishan Nigam, Mayank Vatsa, Richa Singh
2015 Information Fusion  
machine learning algorithms for better representation and classification, (iv) developing algorithms for ocular recognition at a distance, (v) using multimodal ocular biometrics for recognition, and (  ...  Biometrics, an integral component of Identity Science, is widely used in several large-scale-county-wide projects to provide a meaningful way of recognizing individuals.  ...  Acknowledgements A part of this research is supported through a grand by the Department of Electronics and Information Technology, Government of India.  ... 
doi:10.1016/j.inffus.2015.03.005 fatcat:ph2katoyuzdylamlesnt7vzbay

A modified technique for face recognition under degraded conditions

Soodeh Nikan, Majid Ahmadi
2018 Journal of Visual Communication and Image Representation  
CONCLUSION A novel local block-based algorithm is proposed in this chapter which benefits from the local binary pattern (LBP) texture feature descriptor, and decision fusion by means of entropy weighted  ...  Local Gabor binary pattern histogram (LGBPH) technique is proposed in [35] by concatenating the LBP histograms of the magnitude of Gabor features in image sub blocks.  ... 
doi:10.1016/j.jvcir.2018.08.007 fatcat:tme6swuuczbungmidth37agmoi

Texture-Based Crowd Detection and Localisation [chapter]

Stefano Ghidoni, Grzegorz Cielniak, Emanuele Menegatti
2013 Advances in Intelligent Systems and Computing  
This paper presents a crowd detection system based on texture analysis. The state-of-the-art techniques based on co-occurrence matrix have been revisited and a novel set of features proposed.  ...  This is extremely useful for crowd localisation: acquired images are divided into smaller regions in order to perform a classification on each one.  ...  homogeneity, energy, and entropy were used as input to a neural network, developed for classifying crowd density.  ... 
doi:10.1007/978-3-642-33926-4_69 fatcat:y3wzthp37bblhnfvwpidkzoyfy

Human Face Detection Techniques: A Comprehensive Review and Future Research Directions

Md Khaled Hasan, Md. Shamim Ahsan, Abdullah-Al-Mamun, S. H. Shah Newaz, Gyu Myoung Lee
2021 Electronics  
We provide the strengths and limitations of these algorithms and a novel literature survey that includes their use besides face detection.  ...  First, we explore a wide variety of the available face detection algorithms in five steps, including history, working procedure, advantages, limitations, and use in other fields alongside face detection  ...  local binary pattern (OC-LBP), double local binary pattern (DLBP), uniform local binary pattern (ULBP), local SVD binary pattern (LSVD-BP), etc  ... 
doi:10.3390/electronics10192354 fatcat:oy7adwj6cjefnm66cn5kxrybni

Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset

Cong Zhang, Kai Kang, Hongsheng Li, Xiaogang Wang, Rong Xie, Xiaokang Yang
2016 IEEE transactions on multimedia  
Novel global and local crowd features are designed to retrieve similar training scenes and to match spatio-temporal crowd patches so that the labels of the training scenes can be accurately transferred  ...  It covers a large number of different scenes and is suitable for evaluating the performance of crowd segmentation and estimation of crowd density, collectiveness, and cohesiveness, all of which are universal  ...  The compared features include HOG [17] , Local Binary Patterns (LBP) [50] , Gray-Level Cooccurrence Matrix (GLCM) [44] , HOG3D [31] and Dense Trajectory (DT) [63] .  ... 
doi:10.1109/tmm.2016.2542585 fatcat:gtdbjyj7z5elleblqsr6slm7z4

Front Matter: Volume 10033

2016 Eighth International Conference on Digital Image Processing (ICDIP 2016)  
using a Base 36 numbering system employing both numerals and letters.  ...  SPIE uses a seven-digit CID article numbering system structured as follows:  The first five digits correspond to the SPIE volume number.  The last two digits indicate publication order within the volume  ...  10033 12 A radar target recognition method based on MCC-TMM of adaptive frame division EWGP: entropy-weighted Gabor and phase feature description for head pose estimation 10033 14 Design and performance  ... 
doi:10.1117/12.2257252 fatcat:v2ipfp2mp5gedjypzpecahpo7e

Peripheral vision and pattern recognition: A review

H. Strasburger, I. Rentschler, M. Juttner
2011 Journal of Vision  
We report that peripheral vision is limited with regard to pattern categorization by a distinctly lower representational complexity and processing speed.  ...  A central topic is then the recognition of characters in peripheral vision, both at low and high levels of contrast, and the impact of surrounding contours known as crowding.  ...  This is obvious from the fact that local magnitude can be seen as a sort of probability density for observing a feature.  ... 
doi:10.1167/11.5.13 pmid:22207654 fatcat:cfp4k2cl2faedf4khndofsht5u

2019 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 29

2019 IEEE transactions on circuits and systems for video technology (Print)  
Sommer, L., +, TCSVT Sept. 2019 2733-2747 Cross-Line Pedestrian Counting Based on Spatially-Consistent Two-Stage Local Crowd Density Estimation and Accumulation.  ...  Li, J., +, TCSVT Jan. 2019 104-114 Feature extraction 2D-LBP: An Enhanced Local Binary Feature for Texture Image Classification.  ... 
doi:10.1109/tcsvt.2019.2959179 fatcat:2bdmsygnonfjnmnvmb72c63tja
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