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Face detection is already incorporated in many biometrics and surveillance applications. Therefore, the reduction of false detections is a priority in those systems. However, face detection is still challenging. Many factors, such as pose variation and complex backgrounds, contribute to false detections. Besides, the fidelity of a true detection, measured by precision rate, is a concern in content-based...
Smart human tracking systems based on surveillance camera are very popular recently. For example, retailers and museums use head counting to analyze the consumer statistics. This paper proposed an approach to detect multiple heads, which can be applied in smart human tracking system. The computing resource of this kind of applications is so high that it is not applicable in embedded platforms. So,...
In order to reduce the number of accidents caused by the call when the driver was driving, this paper uses the computer vision technology to dectet the behavior of the driver. Based on the constrained local models (CLM) to detect the characteristic changes of the mouth area, combine the HSV color space and the template matching to detect the hand characteristics to judge whether the driver has the...
This paper describes a project concerning human recognition based on athlete numbers and their face detection. In daily life many people are training and participating in marathons, competitions or do sports like soccer. For that they wear t-shirts with a serial number that denotes their identity. For that detection of athlete numbers makes peoples life easier by collecting the data faster and automatically...
Face detection and tracking algorithms are used in computer vision applications due to the fact that they provide reliable and fast results. This paper describes a model for face tracking in video sequences using Open Source Computer Vision (OpenCV) software library. To increase the face tracking accuracy, we propose a real time face tracking algorithm based on integration of Continuously Adaptive...
In this paper, a new face detection method is proposed based on skin color and an image feature called Locally Adaptive Regression Kernels (LARK). A novel preprocessing is applied in this method, which includes skin segmentation and the estimation of the scale and rotation. To segment the skins from the background, a compound color space called H-CgCr is proposed based on both HSV and YCgCr color...
Class participation enrollment, an effective means of classroom management, can urge students to attend class on time and ensure the quality of teaching. Almost all schools are using a roll-call to check and record whether students are coming to class or not. The time required for this method depends on the number of students, which is a huge waste of time. In recent years, with the development of...
With the popularity of surveillance video, face detection in surveillance video has become a popular and important topic. Face detection in surveillance video plays an important role in many popular applications such as: personal identification, crowd analysis, database establishment, and abnormal event detection. This paper proposes an unconstrained face detection method for surveillance video, which...
To support the search for missing persons during a natural disaster, photos taken by smartphone users staying inside the disaster area can be shared over wireless on-demand emergency networks formed by mobile devices. Detecting faces of persons in images and transmitting only the extracted faces can reduce the amount of transmitted data. However, executing common face detection algorithms on mobile...
This paper proposes a face detection algorithm of combining skin color segmentation and AdaBoost algorithm. The algorithm set up the skin Gaussian model in YCbCr color space using skin color clustering characteristics. Then sort out the region of skin color, use AdaBoost algorithm to train a classifier to detect face in the image. Based on our experiments, the proposed method shows good results with...
The Eigenface method is a classic face recognition method. This article is based on the method of Eigen face to recognize the facial expression. The aim of this method is to recognize the facial expression stored in a database. It uses a set of single static image with different expression labels as the training database, projected the training image to subspaces. The similar face of the tested expression...
An application for tracking and detecting faces in videos and in cameras which can be used for multipurpose activities. The intention of the paper is deep study of face detection using open CV. A tabular comparison is performed in order to understand the algorithms in an easier manner. It talks about various algorithms like Adaboost, Haar cascades. This paper aims to help in understanding the best...
In this developing stage of our nation, spreading of obscene images has become a major issue among the teenagers. There are certain techniques to avoid online obscene images and videos. There is a major possibility to transfer such images via external devices. This paper says about how to avoid the transfer of obscene images via external devices. When an external device is connected to the system...
Face detection is one of the most researched topics in computer vision. During the past decades, several fast and accurate methods have been developed by using different computer vision and statistical tools. In fact, accuracy and applicability are two main factors which researchers try to improve. In this paper a method for face region detection using color segmentation and randomized Hough transform...
In this paper, we aim to identify and track people in a given video footage. We perform face detection and recognition, and then use a block matching algorithm to continuously track each detected face. We develop a simple, intuitive, user-friendly interface that enables search by name or image that is useful and convenient for people identification and activity recognition. In addition, we also generate...
With the prosperous development of the Internet, virtual identity is becoming more important to people in social life. As one key factor, attractiveness, is a significant part of virtual identity, where there is still room for different strategies to improve attractiveness. In this study, we focus on digital face image and make it a little bit smiling as a common way to improve attractiveness. The...
The face detection has recently become an important aspect in biometric identification systems. Among many other facial features like position of nose, lips, eye, face contour acts as an important classifier in face detection. The same human's face can be different characteristics, if there are any objects on their face, such as, glasses. This can make an error on the recognition system. This article...
In practical applications, face detection based on AdaBoost algorithm usually has high false positive rate and missing rate due to the interference of complex background in color images. To address these problems, this paper proposes a face detection method combined skin color segmentation with the AdaBoost algorithm. Firstly, in order to avoid the influence of poor lighting conditions, we use the...
Human face is an important object in an image database due to its unique features (eyes, mouth, nose etc.) in every human being. The detection & recognition of a face in an image using template matching is one of the profound research interest in the field of image processing. Various approaches have been proposed in the literature to extract the visual facial features based on texture, color,...
Recently, mobile devices have become equipped with sophisticated hardware components such as a heterogeneous multi-core SoC that consists of a CPU, GPU, and DSP. This provides opportunities to realize computationally-intensive computer vision applications using General Purpose GPU (GPGPU) programming tools such as Open Graphics Library for Embedded System (OpenGL ES) and Open Computing Language (OpenCL)...
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