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This paper presents an efficient video surveillance system which consists of a network camera and an algorithm for automatically detection of the human faces in the monitoring area via real time video contents analysis. The main contribution of this research consists in a software application which is able to process the images received from the camera in order to detect human faces and trigger the...
Computer vision and pattern recognition systems play an important role in our lives by means of automated face detection, face and gesture recognition, and estimation of gender and age. This paper presents a face detection and gender identification task of discriminating between images of faces of men and women from face images under non-uniform background. This is done by detecting the human face...
We address the problem of automatic face detection and tracking in uncontrolled scenarios using a pan-tilt-zoom (PTZ) network camera, which could prove most helpful in forensic applications. The detected faces are associated with the corresponding people and trajectories. The dynamic nature of real-world scenarios and real-time restrictions complicate our task. Different from previous work which use...
Research into computer vision techniques has far outpaced the development of interfaces (such as APIs) to support the techniques' accessibility, especially to developers who are not experts in the field. We present a new description-based interface designed to be mainstream-developer-friendly while retaining sufficient power and flexibility to solve a wide variety of computer vision problems. The...
To resolve the problem that the face detection is slow and detection efficiency is low in complex background, this thesis adopts double color space for color modeling based on YCbCr color space and RGB color space, and on this basis we adopt Adaboost algorithm for face detection. Based on the research of Adaboost algorithm, this thesis proposes improvements on the Adaboost training process and detecting...
The applications of eye detection have grown significantly during the past decade. The objective of this paper was to develop a new technique for eye detection in color facial images. The implementation of this technique was composed of three steps. First step is using skin color information to detect a face in color images. The face region would be segmented from the background. Next step, illumination...
The very first step in many facial analysis systems is face detection. Though face detection has been studied for many years, there is not still a benchmark public database to be widely accepted among researchers for which both color and depth information are obtained by the same sensor. Most of the available 3d databases have already automatically or manually detected the face images and they are...
This electronic document is a “live” template and already defines the components of your paper [title, text, heads, etc.] in its style sheet. ∗∗CRITICAL: Do Not Use Symbols, Special Characters, or Math in Paper Title or Abstract. This paper proposes a three-dimensional (3D) head pose tracking method using fuzzy classifier-based face segmentation and silhouette volume intersection techniques. The fuzzy...
Face detection approach is presented in this paper combines skin color detection and neural network. The first motivation for our paper is to decide which color space is the best in order to build efficient skin color detector can be embedded in the overall face detection system. The proposed skin detection approach uses a chrominance distribution model of skin-color information in the input image...
We proposed improved face detection system using Grid of Skin Color Regions besides luminance data that are used in the conventional system. It decreases FAR (False Acceptance Ratio) in image part where there are non-skin color. Using skin information in CbCr plane is proposed to be implemented into embedded system. It separates skin color and non-skin color regions in the several regions. After that,...
These days, a large number of human-computer interactive systems have been developed. This paper proposes a visualization system of reconstructed three-dimensional (3-D) scene, which is based on user-interactive control using the Kinect sensor and a webcam. First, we acquire depth and color images from a number of viewpoints, from which 3-D reconstruction of a scene is performed. We pre-process the...
Due to the significant increase in the already huge collection of digital images that we have today, it has become imperative to find efficient methods for the archival and retrieval of these images. In this research, a content based-human facial image detection and retrieval model is proposed for retrieving facial images of humans based on their visual content from an image database. The research...
We describe a face detection system based on multiscale part models for drivers' fatigue detection. Our system is able to represent human face using two eye areas and one mouth area. By using mulriple simple template instead of single template with complex details, new model observably improved the computational efficiency and veracity for face detection. This system also considers the specialty of...
This paper presented a target face detection method combining pulse coupled neural network (PCNN) with skin color model. First we use "reference white" method to achieve light compensation, and reuse a mixture skin color model based on HSV and YCbCr to detect skin color areas, and then use mathematical morphology and a face detection algorithm to obtain the sub-graph of face. Finally, we...
In the paper, we proposed a face tracking method using feature point tracking. The proposed face tracking method is composed of two parts: face detection and face tracking. To evaluate the proposed method, several videos containing different kinds of face movement are captured by using low-cost webcam. Experimental results show that our proposed method can track facial regions well. In addition, the...
This paper presents a low vision assistance system for individuals with blind spots in their visual field. The system identifies prominent faces in the field of view and redisplays them in regions that are visible to the user. As part of the system performance evaluation, we compare various algorithms for face detection and tracking on an Android smartphone, a netbook and a high-performance workstation...
In order to solve the problem that Omni-directional faces, which was in images with complex context, couldn't be detected, an eye-core based face detection model was proposed. In the proposed model, the technique of HSI based skin detection combined with eye-core detection was used to detect eyes, and then image rotation, features extraction from images and neural network based classification were...
In this paper we proposed a lighting insensitive face detection method depending upon the skin color and edge of the input color image. First, image enhancement is performed, especially if the image is acquired from an unconstrained illumination condition. Next, the skin segmentation in YCbCr and RGB space is conducted and the result is combined with edges of the input image. Candidate verification...
This paper has proposed an improved algorithm of face detction by the combination of the respective characteristics of Adaboost algorithm and the skin color segmentation algorithm. Face candidate regions were first obtained by the means of skin color detection, which were then input as the trained Adaboost cascade classifier to get accurate and quick face location. Also, in this paper the strategy...
We propose a new efficient technique for localization of faces in arbitrary images. The technique is based on segmentation of images into skin colored blobs, which is followed by computation of scale, translation and rotation invariant moment-based features to learn a statistical model of faces and non-face regions. The superiority of the method to the state-of-the-art face detection methods is its...
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