Haar Transformation of Linear Boolean Function

Rafiq, Hashum Mohamed; Siddiqi, Mohammad Umar

doi:10.1109/icsps.2009.150

Cited by 6 publications

(6 citation statements)

References 7 publications

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“…The HAAR algorithm is a multiresolution wavelet transform [18]. The Haar descriptor is mainly used in pattern recognition and image processing [19]. It is also appropriate in communication technologies for data encoding, multiplexing and digital filtering.…”

Section: Features Extractionmentioning

confidence: 99%

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Automatic Motorcycle Detection on Public Roads

Silva¹,

Aires²,

Veras³

et al. 2013

CLEIej

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Motorcycle accidents have been rapidly growing throughout the years in many countries. Due to various social and economic factors, this type of vehicle is becoming increasingly popular. Over the past years, automated mechanisms to inspect traffic violations such as radars and surveillance cameras are being used ever more. This paper’s goals are the study and implementation of some methods for automatic detection of motorcycles on public roads. Traffic images captured by cameras were used. For feature extraction of images, the algorithms SURF, HAAR, HOG and LBP were used as descriptors. For image classification, Multilayer Perceptron, Support Vector Machines and Radial-Bases Function Networks were used as classifiers. Finally, the results are presented and discussed.

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Section: Features Extractionmentioning

confidence: 99%

“…It is also appropriate in communication technologies for data encoding, multiplexing and digital filtering. The HAAR functions are widely applied in numerical calculations because they produce a uniform function system approximation of a function system with various arguments [19].…”

Section: Features Extractionmentioning

confidence: 99%

Automatic Motorcycle Detection on Public Roads

Silva¹,

Aires²,

Veras³

et al. 2013

CLEIej

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show abstract

“…Essa transformadaé usada principalmente para reconhecimento de padrões e processamento de imagens [10], sendo também adequada em tecnologias de comunicação para codificação de dados, multiplexação e filtragem digital.…”

Section: B Haar Waveletunclassified

“…As funções Haar são amplamente aplicadas em cálculos numéricos, uma vez que produz uma aproximação uniforme de um sistema de funções com n argumentos [10]. Sendo S n um vetor 1-D. O algoritmo Haar consiste em calcular a média M n/2 para cada par em S n e a diferença média D n/2 em cada par, os quais são definidos na Equação 6.…”

Section: B Haar Waveletunclassified

Study and implementation of descriptors and classifiers for automatic detection of motorcycle on public roads

Silva

Aires

Veras

et al. 2012

2012 XXXVIII Conferencia Latinoamericana en Informatica (CLEI)

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In recent years have increased the use of automated mechanisms for monitoring and enforcement of fines for traffic violations, such as radar, electronic spines and photosensors. Due to various economic and social factors use of motorcycles is gaining increasingly popular acceptance. Increasing the number of such vehicle with carelessness by conductors made to grow abruptly the number of accidents. The main security equipment of motorcyclists is the helmet but many conductors do not use it or use incorrectly. This work aims to study and implement methods for automatic detection of motorcyclists on public roads in order to, in a future work, the detection of non-use of helmets. For this purpose, transit images were used captured by video cameras. From these images different attributes have been taken through the SURF, HAAR, HOG, Fourier and K-means descriptors. And for classification of images were used classifiers as Multilayer Perceptron and Support Vector Machine. I. INTRODUÇÃONaúltima década vem-se observando o aumento do número de acidentes envolvendo motocicletas [1]. Segundo o Departamento Nacional de Trânsito (DENATRAN), em janeiro de 2012, o Brasil possuia uma frota de 18.460.061 motocicletas e motonetas. O principal equipamento de segurança dos motociclistasé o capacete. Apesar disso, muitos condutores de motocicletas e motonetas não utilizam o capacete ou o utilizam de forma errada. As pesquisas em sistemas de trânsito inteligentes tornaram-se populares, incluindo detecção, reconhecimento e contagem de veículos além de parâmetros para estimativa de tráfego. Em [2]é proposto um sistema de visão computacional com o objetivo de detectar e segmentar motocicletas em imagens e de detectar o capacete. O sistema de detecção de capaceteé utilizado quando a motocicleta está atrás de algum outro veículo. O capacete determina que existe uma motocicleta naquele ponto da imagem. Em [3]é proposto um sistema de identificação de capacetes com o intuito de identificar possíveis assaltantes de caixas eletrônicos, já que a maioria faz uso desse equipamento para não ter sua face reconhecida pelas câmeras de segurança. Nesse artigoé utilizada a Transformada Circular de Hough para identificação de possíveisáreas circulares, já que capacetes possuem uma tal formato aproximado. E proposto em [4] um sistema para segmentação e classificação de veículos, além de calcular a velocidade aproximada do veículo. Nesse trabalho pode-se observar que os veículos segmentados são classificados em sete categorias, de acordo com seu porte, e uma dessas categorias diz respeitò as motocicletas. Em [5]é implementado um sistema que identifica veículos mesmo que este esteja ocluso por algum outro veículo. O sistemaé capaz de rastrear o veículo detectado mesmo que a oclusão continue a ocorrer.Com base nos trabalhos citados pode-se concluir que a implementação de um sistema para detecção automática de motocicletas e posterior detecção do uso de capacete por motociclistasé viável, já que trabalhos tanto para segmentação de veículos como para detecção d...

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“…These two methods are well known as fast-Fourier-transform (FFT) like methods [22][23][24][25][26]. It was also shown in [27], that there is a correlation between the Haar spectrum of a linear Boolean function and the Walsh functions which happens to be the rows of the Hadamard matrix.…”

Section: A the Haar Spectrummentioning

confidence: 99%

Analysis and synthesis of cryptographic Boolean functions in Haar domain: Initial results

Rafiq

Siddiqi

2012

2012 International Conference on Computer and Communication Engineering (ICCCE)

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Boolean functions play a central role in the design of information protection systems. The strength of cryptographic systems against any potential attack is determined by several criteria which the cryptographic functions should meet. These criteria can be analyzed and measured through the aid of specific tools or methods of approach. In this paper, we explore and address issues related to these methods of approach. We first present an overview of the important cryptographic criteria including the existing tools used to analyze and measure these properties. Then we introduce the Haar spectral transform as an alternative tool that can as well be used for the analysis of the cryptographic Boolean functions, and present the initial simple results on its direct implications to cryptographic functions .

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Haar Transformation of Linear Boolean Function

Cited by 6 publications

References 7 publications

Automatic Motorcycle Detection on Public Roads

Automatic Motorcycle Detection on Public Roads

Study and implementation of descriptors and classifiers for automatic detection of motorcycle on public roads

Analysis and synthesis of cryptographic Boolean functions in Haar domain: Initial results

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