Evolutionary approximation of gradient orientation module in HOG-based human detection system

Wiglasz, Michal; Sekanina, Lukáš

doi:10.1109/globalsip.2017.8309171

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…Computer vision: GP algorithms have been utilized in computer vision applications e.g. recognition of human motion [18], improving the performance of the histogram of oriented gradients (HOG) algorithm for human detection problems [76], in robotics [77], human movement modeling [78], improving edge detection in images [79] and in the pattern recognition problems [80] etc. Circuit Design and Evolvable hardware: Evolutionary Hardware (EHW) is a design approach that uses a reconfigurable hardware structure to develop a circuit that performs a specific function.…”

Section: Artificial Neural Network (Ann) Design: a Corporation Of Artificial Neural Network (Ann)mentioning

confidence: 99%

A Review of Genetic Programming: Popular Techniques, Fundamental Aspects, Software Tools and Applications

Ari

Alagöz

2021

Sakarya University Journal of Science

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Genetic Programming (GP) is one of the evolutionary computation (EC) methods followed with great interest by many researchers. When GP first appeared, it has become a popular computational intelligence method because of its successful applications and its potentials to find effective solutions for difficult practical problems of many different disciplines. With the use of GP in a wide variety of areas, numerous variants of GP methods have emerged to provide more effective solutions for computation problems of diverse application fields. Therefore, GP has a very rich literature that is progressively growing. Many GP software tools developed along with process of GP algorithms. There is a need for an inclusive survey of GP literature from the beginning to today of GP in order to reveal the role of GP in the computational intelligence field. This survey study aims to provide an overview of the growing GP literature in a systematic way. The researchers, who need to implement GP methods, can gain insight of potentials in GP methods, their essential drawbacks and prevalent superiorities. Accordingly, taxonomy of GP methods is given by a systematic review of popular GP methods. In this manner, GP methods are analyzed according to two main categories, which consider the discrepancies in their program (chromosome) representation styles and their methodologies. Besides, GP applications in diverse problems are summarized. This literature survey is especially useful for new researchers to gain the required broad perspective before implementing a GP method in their problems.

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Section: Artificial Neural Network (Ann) Design: a Corporation Of Artificial Neural Network (Ann)mentioning

confidence: 99%

A Review of Genetic Programming: Popular Techniques, Fundamental Aspects, Software Tools and Applications

Ari

Alagöz

2021

Sakarya University Journal of Science

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“…Existen bastantes algoritmos de código abierto que pueden utilizarse en el sistema operativo de una computadora pequeña, de bajo costo y poderosa como la tarjeta Raspberry Pi 3 B+. Uno de estos algoritmos es el de histograma de gradientes orientados o HOG, denominado algoritmo HOG [22]. Este algoritmo se desarrolló en 2005, es de los más avanzados y continuamente se mejora para optimizarlo y lograr mayor precisión.…”

Section: Introductionunclassified

Sistema de acceso usando una tarjeta RFiD y verificación de rostro

Luna

Rangel

Guzmán

et al. 2018

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En este trabajo se presenta el desarrollo de un prototipo de sistema de acceso a un centro de datos usando como identificación una tarjeta de radio frecuencia o RFiD y verificación del rostro del usuario. El sistema se compone de tres módulos de entrada y un módulo central. El objetivo fue diseñar un sistema para transmitir, desde cada módulo de entrada al módulo central, el identificador único universal de la tarjeta RFiD o UUID y la imagen del rostro del usuario para consultar en una base de datos MySQL y en un directorio de fotografías si el usuario puede acceder al área correspondiente del módulo de entrada. Cada módulo de entrada consta de una tarjeta Raspberry Pi 3 B+, un lector de tarjetas RFiD, una cámara de video y una pantalla de cristal líquido o LCD. El módulo central se compone de los mismos elementos que los módulos de entrada y cuenta con una pantalla táctil usada en la interfaz de usuario en lugar de una pantalla LCD. La comunicación entre los nodos es wifi, logrando una precisión del 99,2 % en la verificación del rostro y un tiempo de respuesta de 180 ms usando 310 fotografías entrenadas.

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Cooperative Coevolutionary Approximation in HOG-based Human Detection Embedded System

Wiglasz

Sekanina

2018

2018 IEEE Symposium Series on Computational Intelligence (SSCI)

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Evolutionary approximation of gradient orientation module in HOG-based human detection system

Cited by 3 publications

References 15 publications

A Review of Genetic Programming: Popular Techniques, Fundamental Aspects, Software Tools and Applications

A Review of Genetic Programming: Popular Techniques, Fundamental Aspects, Software Tools and Applications

Sistema de acceso usando una tarjeta RFiD y verificación de rostro

Cooperative Coevolutionary Approximation in HOG-based Human Detection Embedded System

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