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Face recognition and detection processes are used in where need control by camera. During use of face recognition systems appears following problems: can't find face and not enough information in image, changing illumination, occlusion, face shape and etc. In this paper are given current problems and their solving ways.
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...
The human face is an important biometric quantity which can be used to access a user-based system. As human face images can easily be obtained via mobile cameras and social networks, user-based access systems should be robust against spoof face attacks. In other words, a reliable face-based access system can determine both the identity and the liveness of the input face. To this end, various feature-based...
The system proposed in this paper is an innovative biometrie authentication platform for access control applications based face recognition. The vision system is based multisensor fusion combining catadioptric sensor (calibrated with a field of view of 360°) and a Pan Tilt Zoom camera (PTZ). It is able to detect and track moving objects with a high zoom level. The recognition process is based on detection...
More and more personal information is stored in the smart phone, especially including the photos and pictures. It is important to manage these numbers of rapid growth photos in smart phone. In this paper, we develop an intelligent photo management system used for android phone, namely i-Memory. The key function mainly includes the basic function of classify based on time and location, the advanced...
A huge amount of data is available to the web users with evolution of web technology. The available resources in web are used by the users and also they involve in giving feedbacks and thus generate additional information. It is very essential to explore, analyze and organize their opinions and feedbacks in an efficient way for better decision making. So sentiment analysis (SA) is used to find the...
Face biometrics is widely used in various applications including border control and facilitating the verification of travellers' identity claim with respect to his electronic passport (ePass). As in most countries, passports are issued to a citizen based on the submitted photo which allows the applicant to provide a morphed face photo to conceal his identity during the application process. In this...
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...
A facial expression is exhibited by the movement of muscles underneath the face skin. Automatic Facial Expression Recognition comprises of three main phases: Feature Extraction, Feature Selection and Expression Classification. Facial Expression Recognition (FER) has a very important role in computer vision, human machine interaction and modern gaming. The objective of this research work is to explore...
Humans are trying to interact with the computer via touch screen, smart-phones, audio and video. A computer get information from the human via an interface and likewise, a human recognize an information from the computer via an interface. Facial expression recognition is a key element in a human communication. In order to promote the man and machine interaction, a framework is proposed for the facial...
Humans are capable to produce thousands of facial actions during communication that vary in intensity, complexity and meaning. The purpose of this paper is to recognize the human emotions in terms of happy, sad, surprise, neutral and disgust. Its aim 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...
Face recognition using sketches plays a major role in the field of forensic investigation and the field is considered to be more challenging domain for research work. The sketch forms a visual representation of a face and it can be utilized in many recognition applications for instance in facial expression recognition, retrieval of face, in the field of law enforcement and sketch-to-photo recognition...
This special problem issue is intended to help in the detection and face recognition in order to arrest suspects for investigative by using techniques and tricks “Eigen Face” and pairing with “SIFT” (Scale invariant Feature Transform). If it found to be suspect, it will hit the frame surrounding the face of the suspect and the suspect's case number. Then, it will pair face to face in a database system...
Security system based on biometrics is becoming more popular everyday as a part of safety and security measurement against all kind of crimes. Among several kinds of biometric security systems, face recognition is one of the most popular one. It is one of the most accurate, mostly used recognition methods in modern world. In this paper, two most popular face recognition methods have been discussed...
Face detection has attracted immense attention because it has many applications in computer vision communication and automatic control system. Face detection is a method to detect a face from an image which have several attributes in that image. Research into face detection, expression recognition, face tracking, pose estimation is required. By giving a single image, challenge is to detect the face...
In this paper, we present a real-time face recognition system for home security service robot which can be applied to recognize the person's face in front and give a warning when the identity of the person is a stranger. Considering the complexity of the actual situation, there might be some errors causing by the following factors like the angle, the size, the environment and the illumination of the...
This paper is about the biometric attendance management. The automatic attendance management will replace the manual method, which takes a lot of time consuming and difficult to maintain. There are many biometric processes [10], in that face recognition is the best method. In this paper we are going to describe the attendance without human interference. In this method the camera is fixed in the classroom...
This paper addresses the problem of facial landmark localization and tracking from a single camera. We present a two-stage cascaded deformable shape model to effectively and efficiently localize facial landmarks with large head pose variations. In initialization stage, we propose a group sparse optimized mixture model to automatically select the most salient facial landmarks. By introducing 3D face...
Face landmarking, defined as the detection and localization of certain keypoints points on the face, plays arguably the important role as an intermediary step for many subsequent face processing operations that ranges from biometric recognition to the understanding of mental states. Though its conceptual simplicity, the computer vision problem has proven extremely challenging due to multitude of compound...
Eye is the main sensing organ in human body, so it contributes much for user interface. Eye tracking has been widely used in Human Computer Interactions. Real time face image capturing along with eye gaze tracking can provide a means of user input to the computer. Here we combine an efficient method for tracking eye and detecting blink to produce an environment by which physically disabled persons...
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