Haar wavelet based processor scheme for image coding with low circuit complexity

Driver fatigue is one of the leading causes of road accidents. It affects the mental vigilance of the driver and reduces his personal capacity to drive a vehicle in full safety. These factors increase the risk of human errors which could involve deaths and wounds. Consequently, the development of an automatic system, which controls the driver fatigue and prevents him from accidents in advance, has received a growing interest. In this work, we have proposed a fusion system for drowsiness detection based on blinking measurement and the 3D head pose estimation. We have studied the driver's eye behaviors by analysing a non-stationary and non-linear signal and we estimate the head rotation in the three directions Y aw, Pitch, and Roll by exploiting only three interest points of the face. Our suggested system of fusion presents three levels of drowsiness: awake, tired, and very tired. This system is evaluated by both DE AP and Miracl H B databases. The evaluation shows many promising results and shows the effectiveness of the suggested approach.

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“…The application of the Haar wavelets [14] on two scales makes it possible to extract vertical, horizontal, and diagonal edges.…”

Section: The Localization Of Iris and The Two Eyelidsmentioning

confidence: 99%

“…The Haar wavelets [14] can decompose the image to find the vertical and horizontal details for the two eyelids and the iris. Wavelet is characterized by its multi-resolution analysis.…”

Section: The Localization Of Iris and The Two Eyelidsmentioning

confidence: 99%

Spatio-temporal features for the automatic control of driver drowsiness state and lack of concentration

Akrout

Mahdi

2014

Machine Vision and Applications

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“…FPGAs were originally developed for hardware circuit designs. They may be used as powerful computing systems for image processing algorithms [6,[10][11][12]. These computations can be performed much faster than on the host PC, mainly because of the high parallelism allowed by the internal structure of the component.…”

Section: Introductionmentioning

confidence: 99%

“…Fourier Descriptors (FD) are used as feature vector components in various applications, such as object classification, and image retrieval [5,6]. Gauthier et al [7] proposed a family of invariants in translation, rotation, and scale.…”

Section: Introductionmentioning

confidence: 99%

An FPGA-based accelerator for Fourier Descriptors computing for color object recognition using SVM

Smach

Mitéran

Atri

et al. 2007

J Real-Time Image Proc

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“…For example, a mathematical remainder operation might be used to build a robust watermarking technique that will modify the low-frequency coefficients in the DCT frequency domain (Rafi et al 2013). However, it has been observed that, in some cases, an image file that has not undergone any watermarking process shows to an attacker that the image file contains a watermark (Javier and Angel 2007); this scenario could mean that the attacking techniques are sensitive. In other approaches, watermarking techniques over a network should be based on partial encryption, which will decrease computation and bandwidth consumption in an effort to increase the robustness (Fan et al 2013).…”

Section: Introductionmentioning

confidence: 99%

An intermediate significant bit (ISB) watermarking technique using neural networks

2016

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Prior research studies have shown that the peak signal to noise ratio (PSNR) is the most frequent watermarked image quality metric that is used for determining the levels of strength and weakness of watermarking algorithms. Conversely, normalised cross correlation (NCC) is the most common metric used after attacks were applied to a watermarked image to verify the strength of the algorithm used. Many researchers have used these approaches to evaluate their algorithms. These strategies have been used for a long time, however, which unfortunately limits the value of PSNR and NCC in reflecting the strength and weakness of the watermarking algorithms. This paper considers this issue to determine the threshold values of these two parameters in reflecting the amount of strength and weakness of the watermarking algorithms. We used our novel watermarking technique for embedding four watermarks in intermediate significant bits (ISB) of six image files one-by-one through replacing the image pixels with new pixels and, at the same time, keeping the new pixels very close to the original pixels. This approach gains an improved robustness based on the PSNR and NCC values that were gathered. A neural network model was built that uses the image quality metrics (PSNR and NCC) values obtained from the watermarking of six grey-scale images that use ISB as the desired output and that are trained for each watermarked image’s PSNR and NCC. The neural network predicts the watermarked image’s PSNR together with NCC after the attacks when a portion of the output of the same or different types of image quality metrics (PSNR and NCC) are obtained. The results indicate that the NCC metric fluctuates before the PSNR values deteriorate.

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Haar wavelet based processor scheme for image coding with low circuit complexity

Cited by 10 publications

References 9 publications

Spatio-temporal features for the automatic control of driver drowsiness state and lack of concentration

Spatio-temporal features for the automatic control of driver drowsiness state and lack of concentration

An FPGA-based accelerator for Fourier Descriptors computing for color object recognition using SVM

An intermediate significant bit (ISB) watermarking technique using neural networks

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