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.
Upper-limb robotic rehabilitation systems should inform the therapists for their patients status. Such therapy systems must be developed carefully by taking into consideration real life uncertainties that associate with sensor error. In our paper, we describe a system which is composed of a depth camera that tracks the motion of the patients upper limb, and a robotic manipulator that challenges the...
In this research study, we propose an automatic group activity recognition approach by modelling the interdependencies of group activity features over time. Unlike in simple human activity recognition approaches, the distinguishing characteristics of group activities are often determined by how the movement of people are influenced by one another. We propose to model the group interdependences in...
This paper proposes a novel object segmentation method for 3D Light Detection and Ranging (LIDAR) data that is particularly useful for the traffic scene analysis of self-driving vehicles. The novel method gains robustness against under-segmentation, i.e. the problem of assigning several objects to one segment, by jointly using geometrical features and motion field information to discriminate even...
Spaceborne remote sensing videos are becoming indispensable resources, opening up opportunities for new remote sensing applications. To exploit this new type of data, we need sophisticated algorithms for semantic scene interpretation. The main difficulties are: 1) Due to the relatively poor spatial resolution of the video acquired from space, moving objects, like cars, are very difficult to detect,...
Uncertainty and variability are the inherent factors in modern power systems with increasing number of intermittent power resources such as wind and solar integration. This paper presents a novel probabilistic approach to evaluate the power grid with Fault Ride-Through consideration of the wind generation. Low Voltage Ride-Through regulation applied in China grid is investigated in this paper. Critical...
Acoustic sensor networks (ASNs) have been identified as a promising technology to monitor and explore the underwater resources. Most applications of ASNs are required to track an underwater target in an accurate and efficient manner. However, the resource-constrained characteristics on acoustic communication makes it challenging to achieve the tracking task. In this paper, we are concerned with underwater...
In video surveillance to count the number of people walking through a corridor or door people counting is used. Counting persons passing through supervised area is important issue of this domain. System of people counting is important for security application (such as in the situation of an evacuation, it is vital to know how many people are present inside the surveillance area at any given time),...
In recent years there has been a rapid increase in indoor applications of mobile robots, where the knowledge of real-time location has become more and more important. In this framework, the methods about the location estimation are gaining the focus under the umbrella of Indoor Positioning technology, which is suitable for location-based applications. Here, for the purpose of dynamic and static tracking...
In this paper, we propose a method to improve ego-motion estimation. In the proposed method, feature points from input binocular stereo image pairs are detected using the Speeded Up Robust Features method and descriptor vectors are generated for the features. Semi-Global Matching is then performed to ensure the quality and quantity of the matching features, which are used in conjunctions with camera...
Caring for elderly is a task which is facing various communities. Enabling seniors to live with dignity and security is one of the main goals in providing the care they deserve. Living in independent dwellings or in care giving facilities with minimum supervision and intervention can enable our elderly to maintain such dignity. Being able to monitor movements and activities of the elderly through...
A novel model of energy expenditure trend for calorie tracker application was derived in this study. The model provides a solution for consumed calorie estimation in repetitive short-term movements of children's daily life. The model was obtained from non-linear piece-wise curve fitting of children's real exercise data. It shows the feasibility to predict the calorie consumption in short-term movement...
In high-precision positioning of feed drive systems, mechanical resonances are one of the main limiting factor for fast and precise motion. Vibration suppression tracking controllers are employed to improve positioning performance, although precise plant models are generally required. Hence, in systems with time-varying modes, the increasing modeling errors often result in the loss of the needed performance...
Tracking the movement of individuals in a crowd is an indispensable component to reconstructing crowd movement, with applications in crowd surveillance and data-driven animation. Typically, multiple sensors are distributed over wide area and often they have incomplete coverage of the area or the input introduces noise due to the tracking algorithm or hardware failure. In this paper, we propose a novel...
This paper focuses on linear Kalman Filter and its application in 2-D tracking of airborne vehicles. Kalman filter is a powerful computation device which uses recursive computation to attain solution of discrete linear filtering. Being an adaptive filter, Kalman filter analysis the relation between its estimated value and measured value, through a feedback loop and tries to attain the result after...
For USBL (ultra-short baseline) positioning system, orthogonal receiving arrays with three elements distributed in ‘L’-shape or four elements forming a cross are generally used. With this configuration, the accuracy of the localization results depend on the accuracy of the coordinates of array elements, and sometimes the quadrant of the results may be significantly changed. Using redundant data measured...
Motion tracking of moving objects from a sequence of images is an active research area devoted to the applications of video surveillance. The motion estimation is performed by means of optical flow. In this paper, a fractional order variational model is presented for motion estimation. In particular, the proposed model generalizes the existing variational models from integer order to fractional order...
Object tracking is one of the promising fields of research in the domain of image processing and computer vision. This paper deals with detection and tracking of moving objects. Detecting the region which is moving in the search region of a video is the first step. Tracking the object over frames is the second step and the most important one too. The first step can be achieved by background subtraction...
The use of video-based eye trackers (VETs) for gaze interaction have allowed people with severe motor disabilities to communicate more effectively. Nonetheless, current low cost VETs present limited accuracy and precision that impose several design constraints for gaze-based computer applications. In this paper we present an extension of the differential lighting (DL) technique for pupil detection...
In cloud system, the completion time of the slowest processing task is a significant metric when process the data-intensive application by the Map Reduce/Hadoop architectures. Thus an important problem that virtual machine placement for data node problem (VMPDN) is raised. In this paper, considering the successful application of ACO on combinatorial optimization problems, we firstly adopt Max-Min...
This paper proposes a method to improve egomotion determination using latent semantic indexing for feature description and enhancing feature matching via an adaptive procedure. Binocular stereo images are processed using SURF to obtain feature descriptors, which are analyzed semantically using SVD to generate new feature descriptors. Matching criteria for image pairs are established based on epipolar...
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.