In this paper, we propose an efficient measurement of the eye blinking for drowsy driver detection system that is one of the driver safety systems for the intelligent vehicle. However, during the real driving in the daytime, driver’s face is exposed to various illuminations. It makes too difficult to monitor driver’s eye blinking. Therefore, we propose efficient formation of the cascaded form o...

Lately, the integration of gaze detection systems in human-computer interaction (HCI) applications has been increasing. For this to be available for everyday use and for everybody, the imbedded gaze tracking system should be one that works with low resolution images coming from ordinary webcams and permits a wide range of head poses. We propose the 3D Multi-Texture Active Appearance Model (MT-A...

A study is made to detect human eye from a color face image (in RGB space) using Harris corner detector and Sobel edge operator. Morphological operation like dilation and erosion are also applied to make the edge of the eyes sharp and prominent. This study is found to yield 90.47% eye detection rate which is comparable with the same obtained by other standard algorithm. Keywords-RGB color image...

The eyes are tracked and correlation scores between the actual eye and the corresponding “closed-eye” template are used to detect blinks. However, it requires offline training for different depths from the camera for the computation of the distance. In addition, the system requires initialization in which an Eye blinking is one of the prominent areas to solve many real world problems. The proce...

In the coming ubiquitous-computing society, an eyegaze interface will be one of the key technologies as an input device. Most of the conventional eyegaze tracking algorithms require specific light sources, equipments, devices, etc. In a previous work, the authors developed a simple eye-gaze detection system using a monocular video camera. This paper proposes a fast eye-gaze detection algorithm ...

In our multi-view face and eye detection, we use a cascaded classifier trained by gentle AdaBoost algorithm, one of the appearance-based pattern learning method. Specifically, in order to detect multi-view face, we propose a special cascaded classifier using coarse-to-fine search, simple-to-complex search, and parallel-to-separated search. In order to detect eye, we propose a four-step eye dete...

The analysis of eye movements is valuable in both clinical work and research. One of the characteristic type of eye movements is saccade. The accurate detection of saccadic eye movements is the base for further processing of saccade parameters such velocity, amplitude and duration. This paper presents an accurate saccade detection method which is supported by the fuzzy clustering. The proposed ...

This paper discusses the calibration phase required prior to working of any gesture recognition or eye tracking devices. The calibration phase is an starting phase of eye tracking system. Prior to tracking phase, calibration (for eye detection) is required. Four methods have been tried in this paper, namely: using a box, multiple frames, laser and neural networks. The results of implementing ea...

In recent years, several authors have reported that spectral saliency detection methods provide state-of-the-art performance in predicting human gaze in images (see, e.g., [1 3]). We systematically integrate and evaluate quaternion DCTand FFT-based spectral saliency detection [3,4], weighted quaternion color space components [5], and the use of multiple resolutions [1]. Furthermore, we propose ...