In this paper we present a solution for eye gaze detection from a wireless head mounted camera designed for children aged between 6 months and 18 months. Due to the constraints of working with very young children, the system does not seek to be as accurate as other state-of-the-art eye trackers, however it requires no calibration process from the wearer. Gaussian Process Regression and Support ...

Multipath interference in cities has always been one of the main problems leading to abnormal positioning results a global navigation satellite system. Vector tracking is superior conventional scalar ability mitigating multipath interference. However, due special sharing structure, fault propagation which easily occurs vector loop leads false alarms normal signals during detection. To solve thi...

A promising way to gain more insights into how people read and understand a map is by analyzing their eye gaze while working with a map. However, eye gaze logging on interactive maps is challenging due to of various reasons. One of the biggest challenges comes from the interaction with a map that can drastically change the visual representation of the depicted content, making it difficult to de...

In this paper, an original method (GNG-T) extended from Growing Neural Gas [6] is presented. The method performs continuously vector quantization over a distribution that changes over time. It deals with both sudden changes and continuous ones, and is thus suited for the video tracking framework, where continuous tracking is required as well as fast adaptation to incoming and outgoing people. T...

This paper presents a novel approach for eye detection using a hierarchy cascade classifier based on Adaboost statistical learning method combined with SVM (Support Vector Machines) post classifier. On the first stage a face detector is used to locate the face in the whole image. After finding the face, an eye detector is used to detect the possible eye candidates within the face areas. Finally...

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...

Visual speech recognition remains a challenging topic due to various speaking characteristics. This paper proposes a new approach for lipreading to recognize isolated speech segments (words, digits, phrases, etc.) using both of 2D image and depth data. The process of the proposed system is divided into three consecutive steps, namely, mouth region tracking and extraction, motion and appearance ...

In this paper, a novel training scheme based on unsupervised and non-stereo data is presented for Multi-Environment Modelbased LInear Normalization (MEMLIN) and MEMLIN with cross-probability model based on GMMs (MEMLIN-CPM). Both are data-driven feature vector normalization techniques which have been proved very effective in dynamic noisy acoustic environments. However, this kind of techniques ...

Model compensation is a standard way of improving speech recognisers’ robustness to noise. Most model compensation techniques produce diagonal covariances. However, this fails to handle changes in the feature correlations due to the noise. This paper presents a scheme that allows full covariance matrices to be estimated. One problem is that full covariance matrix estimation will be more sensiti...

Tracking the pose of a moving hand from a monocular perspective is a difficult problem. In the current study the tracking problem is recast as efficient database indexing. Recognition is hastened by approximating chamfer distances between hand poses which have been embedded into a common vector space. Using this embedding, a small number of candidate matches for each query can be quickly identi...