The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a real-time image processing of human face identification for home service robot (HSR). This vision system is set up by two individual sub-systems. The first one is face detection and tracking sub-system based on adaptive skin detector, condensation filter with parallel computing particles, and Haar-like classifier. And a simple and fast motion predictor is also proposed for face...
In this paper, we proposed a robust detecting and tracking method for mobile robot by using the Updating Hue and Saturation-histogram method (UHS-his), we also proposed standard quantitatively evaluation parameters for a general detecting and tracking method. Hue and Saturation are elements of HSV color space. The UHS-his method can be used indoors and outdoors as the robust detecting and tracking...
Human visual attention is an area of research that has a strong effect on the field of human-robot-interaction. It has various applications for human-care robots and service robots. The ability of human visual attention to acquire knowledge on informative objects through interaction with the environment is an important research issue in the field of human-computer interaction and augmented cognition...
Human tracking is an important function to an automatic surveillance system using a vision sensor. Human face is one of the most significant features to detect person(s) in an image. However, face is not always observed from a single camera. Therefore, it is difficult to identify a person exactly in an image due to the variety of poses. This paper describes a method for automatic human tracking based...
Real-time hand and face localization is a challenging problem in many application scenarios such as face and gesture recognition in computer vision and robotics. This paper proposes a robust method which can locate multiple faces and hands simultaneously under the changing environment of light illumination and complex background in real time by using skin-color detection and K-means in conjunction...
For autonomous robots equipped with a camera, terrain classification is essential in finding a safe pathway to a destination. Terrain classification is based on learning, but the amount of data cannot be infinite. This paper presents a self-supervised classification approach to enable a robot to learn the visual appearance of terrain classes in various outdoor environments by observing moving objects,...
The paper proposes a novel method for human face extraction from color images, characterized by uncontrolled illumination conditions and complex backgrounds. The method incorporates stationary Haar wavelet transform & proximity influence for prominent boundaries detection and watershed transform, proximity influence & morphological operations to separate foreground / background along with...
Human is unique and is an ancestral gift. Biometric recognition system can use race in identifying the human globally with a particular identity. This paper proposes an algorithm for classification of people into three major races namely Caucasoid, Negroid and Mongoloid, which can easily be integrated into any face recognition system. Firstly, the proposed classification method extracts the distinct...
In this paper, a color-based recognition approach is proposed to recognize and track the trajectory of moving object and use this approach for the examining of sports fitness to construct an automatic examining system. The quantity for the specific movements will be measured and counted by this system to substitute for traditional method to eliminate the error due to subjective evaluation. This automatic...
Existing high dynamic range(HDR) imaging acquisition techniques are limited to the skill of the end user and offline. We propose an algorithm to detect HDR scene and suggest optimal exposure sets for a given scene.
Contextual information is important for interpreting human actions especially when actions exhibit interactive relationship with their context. Contextual clues become even more crucial when videos are captured in unfavorable conditions like extreme low light nighttime scenarios. These conditions encourage the use of multi-senor imagery and context enhancement. In this paper, we explore the importance...
This paper is dedicated to people tracking and identification in the multi-camera surveillance system. In the proposed method, each people-image is extracted among each camera and then is labeled with its color vector. Color vector provides a similar probability for each person appeared in different camera¡¦s surveillance frame. By combining the pedestrian¡¦s trajectory with relations among different...
A new algorithm for palm segmentation for personalidentification to process real time hand-palm images ispresented in this paper. The suggested approach is based oncharacteristics of human hand palms in an image after certainprocessing for the quick identification. The segmentation stepfollows the hand palm real time extraction from sequencedimages or videos. The achieved results will give a rigidpresentation...
This paper presents a novel method for natural image understanding. We improved the effect of saliency detection for the purpose of image segmentation at first. Then Graph cuts are used to find global optimal segmentation of N-dimensional image. After that, we adopt the scheme of supervised learning to classify the scene type of the image. The main advantages of our method are that: Firstly we revised...
Film post-production nowadays can be, and most often is, done in the digital domain using computers. There are plenty of tools available for 3D CGI effects, 2D image manipulation of individual frames, color correction and grading, audio-visual synchronization and video editing. Every task, however, still requires a considerable amount of human interaction. In this paper, we will provide an overview...
It is known that the early detection of chronic diseases significantly increases the life span of the elderly and improves the quality of life in general. Since the brain is the most valuable part of the human body, it is very important for the physicians to know the stages of aging and changes that take place during these stages and possible implications associated with them in order to more effectively...
The Content-based image retrieval (CBIR) systems and their application in different areas of development, are current research topics, however the semantic gap between low-level image features and high-level semantic concepts handled by the user, is one of the main problems in the image retrieval. On the other hand, the relevance feedback has been used on many CBIR systems such as an effective solution...
The Codification of Argopecten Purpuratus is a process, where the Stem and Coral are classified by their weight in different codes. This process is done manually, therefore is linked to the subjectivity and the fatigue of people involved in the work. The use of computer vision is an alternative to automate this process. The present work proposes a method to classify the Argopecten Purpuratus based...
This paper presents a model to reconstruct 3D virtual humans based on a single and spontaneous image. The main goal is to use computer vision and pattern recognition techniques to build coherent virtual humans according to an input picture. To achieve this goal we provide a semi-automatic process that includes 3D posture detection, segmentation of human body parts, and silhouette processing. Such...
Image segmentation is a fundamental task in computer vision and a prerequisite for many applications. But what is a good segmentation? One possible answer is given by the segmentation-by-composition framework that defines a good segment as one that can easily be composed by parts of itself. However, this framework is originally based on pixels which causes several problems, among them the need for...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.