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.
High Dynamic Range Imaging is a inevitable step in machine vision for a high dynamically illuminated environment. In cost-wise aspect it is better to convert the high dynamic image to a low dynamic one with preserving the maximum information with the help of Tone Reproduction Algorithm. Another essential feature in colour based object recognition is colour constancy, especially in identifying metal...
On roads, drivers can detect traffic sign extraordinarily fast and accurately; however, the computer vision system does not easily imitate this natural ability although using a lot of image processing techniques. This weakness can be tackled by a bottom-up visual saliency method based on traffic-sign colours which occupy certain ranges of RGB values. These values can be used to modulate the bottom-up...
Advances in technology continue to make both hardware and software affordable and accessible; we have seen a rapid growth in computer vision and image processing applications. One area of interest in vision and image processing is automated identification of objects in real-time or recorded video streams and analysis of these identified objects. An important topic of research in this context is identification...
People are capturing and storing an ever-increasing amount of information about themselves, such as digital images. New technologies, in addition to increasing the need to store daily activities via images and for retrieval capacity, have led to the development of interaction methods for this information. Therefore, this case study suggests an Artificial Mirror interaction system to enable access...
Gait as a behavioural biometrics has been the subject of recent investigations. One of the unique advantages of human gait is that it can be perceived from a distance. A varied range of research has been undertaken within the field of gait recognition. A gait describes the manner of a person's walking. It can be acquired at a distance and if necessary without consent or knowledge of the subject. Human...
In this paper we tackle the problem of recognising movement classes in real-time surveillance video. We use a popular public dataset, the CAVIAR dataset, which contains ground truth labeling of people and their activities within a shopping centre environment. The task of movement classification is often performed using simple heuristic rules, and performance can suffer when an increased number of...
Nowadays, a lot of attention has been focused on developing human motion analysis system for sport science application. With the advance computational power and speed, computer researchers are now able to develop markerless human motion analysis instead of placing special markers and sensors onto the test subject. Our research focuses on tracking the major body of a professional golfer directly from...
The motion segmentation is to divide the original motion sequence into several motion fragments with specific semantic, which plays an important role in the motion compression, motion classification, motion synthesis. This paper presents a motion segmentation algorithm based on the central distance features and low-pass filter for the human motion capture data. The proposed approach mainly includes...
This paper utilizes the characteristics of the Human Visual System (HVS) for obtaining better results in denoising color images corrupted by Gaussian noise. Implementation of the Contrast Sensitivity Function (CSF) of the HVS is done in each of the sub-bands in the wavelet domain. In this paper, an 11-weight Invariant Single Factor (ISF) system is proposed and implemented which outperforms the generally...
The prime objective of this Research is the development of effective reading skills in Machines. After reading the text and comprehending the meaning, it would self-program itself and according to the program it would implement the instructions. Here we are exploring a new era of computer vision and related Research. The current investigation presents an algorithm and software which detects, recognizes...
This paper describes our work in computer vision to track food materials in the food preparation process. Tracking such food materials is difficult, because they are often hidden when moved by hand. Furthermore, their appearance may change in hand when they are cut or peeled. For tracking these objects in such situations, we propose a novel method that matches an object on a cooking table to one grasped...
Human motion recognition in video data has several interesting applications in fields such as gaming, senior/assisted living environments, and surveillance. In these scenarios, we might have to consider adding new motion classes (i.e. new types of human motions to be recognized) as well as new training data (say, for handling different type of subjects). Hence, both accuracy of classification and...
Human identification by gait has created a great deal of interest in computer vision community due to its advantage of inconspicuous recognition at a relatively far distance. This paper provides a comprehensive survey of recent developments on gait recognition approaches. The survey emphasizes on three major issues involved in a general gait recognition system, namely gait image representation, feature...
Most commonly used CAPTCHAs are text-based CAPTCHAs which relay on the distortion of texts in the background image. With the development of automated computer vision techniques, which have been designed to remove noise and segment the distorted strings to make characters readable for OCR, traditional text-based CAPTHCAs are not considered safe anymore for authentication. A novel image based CAPTCHA...
The prime objective of this Research is the development of effective reading skills in Machines. After reading the text and comprehending the meaning, it would self-program itself and according to the program it would implement the instructions. Here we are exploring a new era of computer vision and related Research. The current investigation presents an algorithm and software which detects, recognizes...
In this paper, we present a method of human action recognition that uses spatial-temporal local and global motion descriptions from the image sequence with selected variability. The local motions use the dense optical flow velocity of the image sequence. The principal components are extracted from the silhouette image sequence of an action and are regarded as global motions. In order to address the...
Computer vision has been largely used in industrial automation applications such as automatic inspection, robot control, security, and entertainment. Computer vision techniques based on optical measurement systems are very useful for fragile surface where no contact or disturbances on the object to be measured are allowed. In this paper we present very efficient technique for 3D reconstruction of...
In this paper we present a divisive hierarchical method for the analysis and segmentation of visual images. The proposed method is based on the use of the k-means method embedded in a recursive algorithm to obtain a clustering at each node of the hierarchy. The recursive algorithm determines automatically at each node a good estimate of the parameter k (the number of clusters in the k-means algorithm)...
Automated recognition of human daily activities is very important for human-robot interaction (HRI) in assisted living systems. We propose a Bayesian framework to integrate motion sensor observations and the location information from a vision system for human daily activity recognition. Two problems are studied in this paper: enhancing activity recognition through the fusion of two channels of information...
It has been shown that incorporation of human-specified high-level description of the target objects, e.g. labeled prior-knowledge data, can increase the performance of one-shot recognition. In this paper, we introduce latent components as a high level representation of the original objects and propose a cascade model for one-shot image recognition based on latent components learned by Hierarchical...
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.