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.
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...
In order to improve the citrus grading accuracy, fractal dimensions which characterize the color and shape features of citrus fruit were analyzed. Samples were from Citrus unshiu Marc.cv.unbergii Nakai. For each sample, images from peduncle, calyx and two opposite sides were collected. These four images were cut, removed backgrounds, and converted from RGB space to HSI one, then by the following methods,...
Extracting building rooftops in satellite/aerial images is one of the most challenging problems in the application of computer vision for remote sensing. In this paper a new contour propagation model for rooftop boundary detection is proposed. It includes developing contour models that evolve by leaping on image corners and edge points while minimizing an energy function based on image corner responses,...
The human posture estimation in surveillance caring application can improves the people everyday life, In this paper, we propose a method that is invariant to background, distance of camera location, size and cloths of people in the frames. A silhouette is projected to the horizontal and vertical histograms for features extraction. The important features are based on the length and width of body parts...
Road detection is a vital task for the development of autonomous vehicles. The knowledge of the free road surface ahead of the target vehicle can be used for autonomous driving, road departure warning, as well as to support advanced driver assistance systems like vehicle or pedestrian detection. Using vision to detect the road has several advantages in front of other sensors: richness of features,...
The present research examined vision attentional processing of location and color cues information in three-dimensional (3-D) space using cuing paradigm by means of a three-dimensional attention measurement apparatus. Experiment used three cues information (valid, invalid and neutral), two color information (red and green), and three interstimulus intervals (ISIs) (200, 400 and 600 ms). Subjects were...
In this paper, we propose a new algorithm for optimally adapting ellipses outlining objects of interest in order to improve the performance of a colour based tracking approach for real video sequences. We present a Lagrangian based method to integrate a regularising component into the covariance matrix to be computed. Technically, we intend to reduce the residuals between the estimated probability...
Analysis of activities in low-resolution videos or far fields is a research challenge which has not received much attention. In this application scenario, it is often the case that the motion of the objects in the scene is the only low-level information available, other features like shape or color being unreliable. Also, typical videos consist of interactions of multiple objects which pose a major...
In this paper, we propose a new algorithm with an adaptive arbitrary support-pixel set, with an arbitrary shape and size, and adaptive support-weight according to perceptual grouping principle in the Markov random field framework. Adaptive arbitrary support-pixel set is a set of pixels which are selected based on the similarity law of the perceptual grouping principle from neighboring pixels of the...
Reconstructing 3D shapes from 2D images based on structured light is becoming an increasingly important topic in computer vision. However, low resolution and sensitive to environment illumination are the main restriction of this technology for practical application. This paper proposes a new color coded structured light technique for reconstructing object shape from a single image. This technique...
Road Sign Detection is a major goal of Advanced Driving Assistance Systems (ADAS). Since the dawn of this discipline, much work based on different techniques has been published which shows that traffic signs can be first detected and then classified in video sequences in real time. While detection is usually performed using classical computer vision techniques based on color and/or shape matching,...
Content based image retrieval (CBIR) refers to the ability to retrieve images on the basis of image content. In our work, we describe an approach to CBIR for various database images that relies on human input machine learning and computer vision. More specifically we apply expert level human interaction for solving that aspect of the problem and we employ machine learning algorithms to allow the system...
The challenging problem of planning manipulation tasks for dexterous robotic hands can be significantly simplified if the robot system has the ability to learn manipulation skills by observing a human demonstrator. Toward this goal, we present a novel computer vision based hand posture recognition system to serve as an intelligent interface for skill transfer in robotic manipulation. We use the inner...
This paper proposes a novel approach to boost a set of Associated Pairing Comparison Features (APCFs) in Granular Space for pedestrian detection, in which Pairing Comparison of Color (PCC) and Pairing Comparison of Gradient (PCG) are two kinds of essential elements. A PCC is a Boolean color comparison of two granules and a PCG is a Boolean gradient comparison of two granules, which is motivated by...
In the light of the problem of monitoring forest fire, the design strategy and practical implementation of establishing the monitor system based on digital image information are proposed. The system is based on the CCD configuration characteristics and color information to detect and locate fire. Manned lookout posts are commonly installed in the forests all around the world. In this project, a system...
The new automatic classification devices for products based on machine vision techniques value the shape and color parameters so as to suitably assess the latter. These parameters may also be turned to good account by the machine vision techniques that proved to be applicable in several domains. One can especially apply these techniques in the inspection and analysis systems of industrial products...
The detection of peanut cultivars and quality is an important composition of peanut breeding and quality testing. In order to evaluate the feasibility of mass peanut seed detecting via appearance characteristic, firstly we get 48 varieties pictures and 6 different quality in one variety pictures with digital camera, then we use the method of principle component analysis and artificial neural network...
Partial occlusion is a difficult problem in computer vision since whether the object is changed or occluded is ambiguous, especially when distinguishing it only from the object boundary. In this paper, we proposed a novel idea to solve this problem by taking shape matching as a morphing processing. A mass-spring model is constructed from the point set which is sampled from a template (or reference)...
An image is digitized to convert it to a form which can be stored in a computer's memory or on some form of storage media such as a hard disk or CD-ROM. Once the image has been digitized, it can be operated upon by various image processing operations like enhancement, restoration, reconstruction, compression. An image defined in the "real world" is considered to be a function of two real...
This paper introduces a method for hand-raising gestures detection based on human body silhouette analysis in indoor environments. Past approaches have detected the gestures for isolated persons or seated persons. Our method can deal with moving persons in crowd. First, background subtraction based on integration of intensity histograms with codebook of color feature is employed to segment human bodies...
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.