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.
Biometric systems perform recognition of individuals on the basis of their physical and/or behavioral traits. Some commonly used traits are fingerprint, face, iris, retina, palm print, voice pattern, signature, gait, etc. Fusion of Biometric traits improves the system performance and accurarcy. Fingerprint are detailed, unique, difficult to alter and durable over a lifetime. Features are extracted...
Swift in Information technology and Communication networking, have heightened the willingness of professionals in storage and archival of multimedia-video data. Efficient and meticulous retrieval of archived video data is essential need of many professional groups like researchers, analyst, journalist and historians. Textual metadata based video retrieval is intuitive and subject to human perception...
In this paper a method is presented for detection of melanin globules often present in melanocytic skin lesions images. The detection is done by performing image analysis similar to the one used in clinical evaluation. The method uses multi-stage image filtering to extract objects present in the dermoscopic image that match globule structure pattern. Classification of the found objects is made based...
Harvesting the commercially significant lobster, Nephrops norvegicus, is a multimillion dollar industry in Europe. Stock assessment is essential for maintaining this activity but it is conducted by manually inspecting hours of underwater surveillance videos. To improve this tedious process, we propose an automated procedure. This procedure uses mosaics for detecting the Nephrops, which improves visibility...
Poster that represents a video has many applications in internet and media world. In this paper, a method is proposed to generate poster based on color feature and relevance feedback. Color feature is used because it is more closely to human perception and it is easy to extract, match and also effective for indexing. In our method as color feature of a frame in a video, HSV color space and Color Moment...
In computer graphics field, stroke-based painterly rendering (SBPR) is the program to convert photographs into paintings, such as oil painting, watercolor and sketches. Beyond specific techniques to render real photographs, major challenge is how to understand real photographs as human visual perception and cognition according to artists' painting motivation, which parts should be drawn and how to...
License plate detection and character recognition have unveiled new possibilities and challenges in the field of intelligent transport system. Numerous algorithms have been proposed regarding license plate localization and tracking, character segmentation and character recognition. License plate character recognition is still an active area of research specially in terms of processing complexity....
This paper presents a novel framework for Content Based Image Retrieval(CBIR), which combines color, texture and spatial structure of image. The proposed method uses color, texture and spatial structure descriptors to form a feature vector. Images are segmented into regions to extract local color, texture and CENTRIST(CENsus Transform hISTogram) features respectively. Multiple-instance learning (MIL)...
This paper proposes techniques for face detection and gives the implementation details for an FPGA development board. We analyze and discuss the relation between the system computation cost and selection of the image scaling factor. We give a new method to select the stop threshold for the image reduction process, which reduces the total computation by half. We also provide a color image output mode...
For natural image segmentation, due to features from a single image are hard to describe the complex scene information, this paper presents a new method based on the fusion model evaluation index PRI to fuse color histogram features in 3 color spaces, RGB, XYZ, LUV, and texture features. We experiment on images from Berkeley segmentation databases and compare the quantitative and qualitative experimental...
We propose a novel semi-supervised local discriminant analysis (SELD) method for feature extraction in hyperspectral remote sensing imagery. The proposed method combines a supervised method (Linear Discriminant Analysis (LDA)) and an unsupervised method (Neighborhood Preserving Embedding (NPE)) without any free parameters. The underlying idea is to design optimal projection vectors, which can discover...
An algorithm was proposed to remove the moving shadow in video surveillance. This method gets the moving objects from motion detection in first, in which removal shadow on invariable features of colors and local texture, then gets rid of the change suddenly pixels in edge of shadow. Experiments show that having a strong ability to adapt to different scenes, the algorithm retains the integrity of the...
In recent years, many researches were focused on the remote control of appliances by using hand gestures. It could narrow the gap of interaction between human and machines. In most of the gesture recognition systems, the skin colors of different mankind and the lighting conditions of clutter background environments are the major problems for the hand shape segmentation. In this paper, we propose a...
The ads exposure frequency in a TV is very important for the pricing of the advertising. If we count this exposure frequency by person, it will be very time consuming and error-prone. In this paper, we propose an approach and design a system for searching and counting the number of banner ads appearing in sports videos. The searching proceeds by matching feature points from pre-specified sample ads...
Hydrothermal chimneys are indicators of hydrothermal activity and therefore important in ocean research. Because of the complex terrain and suspended solids in the water around hydrothermal chimneys, it is difficult to measure them with traditional methods. In this paper we propose an innovative method to measure the shape and color of them by a rotary laser scanning (RLS) system. By combining multiple...
Speed limit signs play a vital role in traffic control, as an important means of controlling the vehicle speed. Therefore, achieving the correct recognition of speed limit sign is particularly critical in the road traffic sign recognition system research. In order to probe into accuracy problems and speed problems of the urban road speed limit detection, on the basis of color-geometric features of...
This paper has proposed an application of 2D principal component analysis (2DPCA) and genetic algorithm (GA) for vehicle detection from CCTV captured image. The system deploys a 2DPCA algorithm for feature extraction of vehicle within gray scale images. These vehicle feature matrices of size 50×20 are trained and then classified by using genetic algorithm. This system can detect different vehicle...
Scene classification from images is a challenging problem in computer vision due to its significant variability of scale, illumination, and view. Recently, Latent Dirichlet Allocation (LDA) model has grown popular in computer vision field, especially in scene labeling and classification. However, the effectiveness of the LDA model for the scene classification has not yet been addressed thoroughly...
With the sophistication in automated computing systems Bio-Medical Image analysis is made simple. Today there is an increase in interest for setting up medical system that can screen a large number of people for sight threatening diseases, such Retinoblastoma (Rb) and Diabetic Retinopathy(DR). Spatial Domain Edge Detection approach needs Gray scale images for feature extraction and highly prone to...
Melanoma can be cured if it is detected early, so early diagnosis is very important in dermatological practice today. Early and non-invasive diagnosis of melanomas can be done by accurate image segmentation of skin lesions. The medical images, while acquisition are generally bound to contain noise. This paper proposes a robust and efficient image segmentation algorithm using LOG edge detector to extract...
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.