This paper demonstrates design and fabrication o f a mechatronic system for human drowsiness detection. This system can be used in multiple places. For example, in factories, it is used on some dangerous machinery and in cars in order t o prevent the operator o r driver from falling asleep. This system is composed of three parts: (1) mechanical, (2) electrical and (3) image processing system. A...

An efficient, global and local image-processing based extraction and tracking of intransient facial features and automatic recognition of facial expressions from both static and dynamic 2D image/video sequences is presented. Expression classification is based on Facial Action Coding System (FACS) a lower and upper face action units (AUs), and discrimination is performed using Probabilistic Neur...

This work proposes a method for automatic face obscuration capable of protecting people’s identity. Since face detection heavily benefits from the possibility to exploit tracking, multi-camera people tracking has been integrated with a face detector based on colour clustering and Hough transform. Moreover, the multiple viewpoints provided by multiple cameras are exploited in order to always obt...

In this paper, we demonstrate an effective tracking system for moving face and hand objects in real time. Our approach contains of three substages: adaptive background subtraction, face and hand detection using skin color and tracking them with pixels correlations respectively. There are famous robust tracking methods such as mean shift and active shape model in the literature. Despite providin...

Lip contour detection and tracking is the most important pre-requisite for computerized speech reading. Several approaches have been proposed for lip tracking after lip contour is accurately initialized on first frame. Detection and tracking of the lip contour is an issue in speech reading. A relatively large class of lip reading algorithms are available based on lip contour analysis. In these ...

This paper is used for an application that it’s capable of swapping mouse with human face for interaction with PC. In paper there is one web cam. It’s an external device, which detect the human face or we can say that tracking and detecting the facial expressions of human being. This is our theory paper and in this we explained – in what way we detect our facial expression. Facial features (eye...

Face detection is an essential first step towards many advanced computer vision, biometrics recognition and multimedia applications, such as face tracking, face recognition, and video surveillance. In this paper, we proposed an FPGA hardware design with NoC (Network-on-Chip) architecture based on an AdaBoost face detection algorithm. The AdaBoost-based method is the state-of-the-art face detect...

Human faces are identified and localized via facial detection, which ignores any backdrop objects like curtains, windows, trees, etc. Each frame of the video is run through multiple stages classifiers in OpenCV's Harr cascade, if passes each level, face considered to be present; otherwise, dismissed from classifier, means that not detected. When an image detected, OpenCV also returns height bre...

This paper describes a real time face detection and tracking system. The method consists in modelling the skin face by a pixel fusion process of three colour sources within the framework of the Demster-Shafer theory. The algorithm is composed of two phases. In a simple and fast initialising stage, the user selects successively on an image, a shadowy, an overexposed and a zone of mean intensity ...