Image processing for eye detection and classification of the gaze direction

Peixoto, Helton Maia; Guerreiro, Ana M. G.; Neto, Adrião Duarte Dória

doi:10.1109/ijcnn.2009.5178924

Cited by 11 publications

(10 citation statements)

References 12 publications

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“…The quantization is the representation of each pixel by a value that indicates the intensity of brightness, called grayscale. The amount of gray levels depends on the amount of bits used in the representation of each pixel [4].…”

Section: A Image Processingmentioning

confidence: 99%

Modeling a system for monitoring an object using artificial neural networks and reinforcement learning

Peixoto

Diniz

Almeida

et al. 2011

The 2011 International Joint Conference on Neural Networks

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This paper presents a modeling of a system designed to monitor a moving object from images captured by a camera. The research was focused on defining the steps necessary to the functioning of systems, they are: capture and image processing, pattern recognition with artificial neural networks and seek the best path for moving the camera, using reinforcement learning. The results show the viability of the proposed system, being a relevant alternative to monitoring and security environments.

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Section: A Image Processingmentioning

confidence: 99%

Modeling a system for monitoring an object using artificial neural networks and reinforcement learning

Peixoto

Diniz

Almeida

et al. 2011

The 2011 International Joint Conference on Neural Networks

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“…The objective is to systematically seek the lowest cost of electricity production that will be consistent with electricity demand. To minimize cost, Optimal power flow (OPF) will increase the use of more efficient generating unit and at the same time addresses two issues of concern -better fuel usage, and reduced green house gas emission [2,3,4] that would result from less efficient generation. OPF therefore seeks to minimize the total cost of generating power (production cost) at various stations while satisfying the loads and the losses in the transmission lines.…”

Section: Introductionmentioning

confidence: 99%

(Lantool) Power Generation Cost Minimization Software Application

V.I.E.¹,

Afa²

2014

AJEEE

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Managers of large scale industry like the electricity generation are challenged at many fronts because the tasks involved are complex, influenced by unexpected events and evolve in time. Currently the application of computer methods in this industry has produced tremendous positive results. In this regard, the study presents an effort developed to solve optimal power flow (economic dispatch) problem by minimizing the cost of generation using the lagrangian multiplier method. A decision support system 'Lantool' is presented. The approach is validated by lagrangian method found in technical literatures. The system will assist operators in thermal power plants with the task of planning generation in the most economic way. A result obtained from the application explains the important role decision support systems can play in the management of the electricity generation industry.

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“…Although in some algorithms including [7, 15, 16], the gaze estimation is restricted to some limited discrete number of classes, in some others such as [17, 18], an attempt is made to have the gaze as a vector in continuous three‐dimensional (3D) space. Also considering the challenging problem in video‐based gaze estimation systems, being the robustness to head pose‐variation and displacement, the algorithm of [17] is preferred.…”

Section: Introductionmentioning

confidence: 99%

Selection of unique gaze direction based on pupil position

Mohammadi

Raie

2013

IET Computer Vision

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The ‘gaze estimation’ problem, because of its manifold applications including human–computer interaction especially for the handicapped, has been a topic of research for many years. Recently, thanks to technological advances, non‐intrusive methods based on image processing employed in broader applications, are addressed more than before. One of the promising approaches to gaze estimation is based on projective geometry. In projective geometry‐based approaches, an ellipse is fitted to the image of iris boundary and from its parameters, two solutions are obtained, only one of which is valid for the gaze direction. Since the ellipse parameters are not adequate for disambiguation, in a previous work, the accurate coordinates of eye corners in three‐dimensional, as complementary information, is obtained through another system increasing the cost and complexity of the overall system. In this article, a new technique to select the valid solution, based on eye geometry and iris image, is developed. In the proposed technique, relative position of the pupil centre with respect to the iris centre is used as the complementary information and a novel algorithm is proposed for its extraction. The performance of the proposed technique was evaluated on 600 real images and with only one failure on selecting the valid solution demonstrated an accuracy of 99.8% for disambiguation.

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Image processing for eye detection and classification of the gaze direction

Cited by 11 publications

References 12 publications

Modeling a system for monitoring an object using artificial neural networks and reinforcement learning

Modeling a system for monitoring an object using artificial neural networks and reinforcement learning

(Lantool) Power Generation Cost Minimization Software Application

Selection of unique gaze direction based on pupil position

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