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.
One main difficulty in applying action recognition to practical applications is the need to segment beginnings and ends of actions in a continuous online monitoring process. This paper proposed a finite state machine (FSM) model for automatic action segmentation and recognition solution, based on pose streams in the form of skeleton joint data provided by Kinect. With the action recognition problem...
In this paper, an adaptive proportional integral derivative (PID) based on radial basic function neural networks (APID-RBFNs) is proposed for tracking control of a 2 degree of freedom (DOF) parallel manipulator. For developing the controller, a dynamic model of this parallel manipulator is developed based on a matrix form equations. APID-RBFNs is designed to overcome external disturbances and complex...
In this paper, a non-preprocess calibration of depth image is proposed Take advantage of FCM to acquire the depth value distribution in the depth image. After that, according to relation among all the centroids of cluster, the real distance is estimated. Then, the error of the depth value is able to be compensated. When utilize the proposed method, plenty of pre-process for calibration can be avoided,...
Accurately and reliably tracking the 3D position and orientation of individuals in large flying swarms is valuable not only for scientific researches but also practical applications. However, large quantity, frequent occlusions, similar appearance, tiny body size and abrupt motion make it remain an open problem. The 3D flying swarm tracking method proposed in this paper tracks both position and orientation...
Automatic analysis of the mood of a piece of music is of great value in music searching, understanding, recommendation and some other music-related applications. Different from most of previous methods that adopted a discriminative mood classification scheme, in this paper, we propose a generative multimodal method for automatically classifying the mood of a piece of music based on effective learning...
Text embedded in natural scene images provide rich semantic information about the scene, which is of great value for content-based image applications. Due to the variety of text appearance and the complexity of scene context, however, text detection in natural images remains a challenging task. In this paper, we propose a robust text detection method that hierarchically and progressively localizes...
In this paper, a detailed study to apply an adaptive proportional-derivative networks (APDNs) tracking control is proposed for redundant parallel manipulators with full-state constraints. APDNs is designed — based on the combination of the nonlinear compensation, the PD nonlinear sliding part, and feedforward radial basic function neural networks (RBFNs) with online learning. By using the Lyapunov...
In this paper, a novel approach is introduced for tracking human targets in cases of high influence from complexity of environment. In real world applications, the need of interaction in real time between a tracking system and human plays an important role. In the proposed approach, a RGB-D camera is utilized to acquire the depth information which is considered to define the Depth Of Interest (DOI)...
A simple and economical system is developed to detect human breath in a real time fashion with a normal webcam. By using the optical flow method, a novel approach is proposed to detect the peak of inspiratory phase from a series of frames that are captured from a camera to define the time for trigging X-ray shooting. The issue of using images to detect breath is that the motions of respiratory features...
This paper presents a hybrid energy-harvesting integrated chip (IC), which is suitable for the Internet of Things and portable devices. The proposed IC was designed for the harvesting of energy from ambient light as well as vibrations in the environment. A constant voltage method is used to balance power conversion efficiency against the complexity of the circuit used to process lighting energy. An...
To detect salient image regions containing textual patterns in the video is valuable to many content-based video applications such as video retrieval, abstraction, classification and analysis. In this paper, we present an effective textual saliency detection method for natural scene videos. We first compute text-alike confidence values of local image regions, which capture the basic visual cues of...
Human detection is an active topic with many interesting applications in computer vision. This paper proposes an improved human detection method to extract and segment the human body figure from a given image without prior information. This is done by detecting face, head and shoulder separately, face detection is obtained from Haar classifier while head and shoulder detections are determined from...
PHM (Prognostics and Health Management) is a key technology in autonomic logistics equipment. It is also the newest development in the current equipment system, BIT (Built-In Test), because of its condition monitoring abilities. PHM technology marks a transformation from condition monitoring to health management. The PHM design philosophy has also been adopted in the development of new generation...
Fault injection is an effective method for PHM and testability validation. However, with the increasing complexity of structures and functions, and with the promotion of integration levels for airborne prognostics and health management (PHM) and integrated modular avionics (IMA) systems, fault injection is often difficult to use in conventional “plug,” “probe,” or “adaptor plate” methods. Fault injection...
A smart home system can provide better services to assist users if it knows what user activities will occur beforehand. Early research in activity prediction has indicated that the result of prediction is unique, but the accuracy remains unsatisfactory if only one result is considered. To solve this problem, this paper proposes a method of leveraging multiple models. In this work, we use a Bayesian...
This paper is to report our study on the moving object detection from surveillance images. For motion detection, some existed methods are used to find specific features between images and then to define the moving speeds of objects. However, human-created features may be difficult to define and to acquire especially when the objects are unknown. In this paper, the scale-invariant feature transform...
Instantaneous frequency estimation plays an essential role in such applications as target detection, emitter recognition and so on. In order to promote Instantaneous Frequency estimation precision based on the Short-Time Fractional Fourier Transform in low SNR, the peak tracking technology with Hidden Markov Model is used. After the Hidden Markov Model is established for the Short-Time Fractional...
A novel design approach is proposed for indirect adaptive fuzzy decoupling control which is used in the lower limb exoskeleton. In the study, the fuzzy system is used to approximate the unknown system. Furthermore, in the lower limb exoskeleton, the coupling parameters are unknown as the disturbance values from the different subsystems. The paper proposes an reduced adaptive function to approximate...
The paper presents an improved redial basis function network to degrade the influence of the heteroscedasticity noises in the training data. A general purpose learning algorithm is regarded as the statistical nonlinear regression model which is assumed the constant noise level. However, the heteroscedasticity noises always exist in the real data. The transformation based least trimmed squares-support...
Quality of X-ray image plays an important role in diagnostic results. The traditional method for taking x-ray image depends on the operator's judgments and requires high professional quality of the radiologist. The quality of X-ray image for chest region obtains the best results when the ribcage is full air. That corresponds the peak time of inhaling cycle. In this paper, we use a depth camera of...
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.