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In this paper, a scheme of small body autonomous optical navigation is presented which takes the opportunity feature region (OFR) as the navigation characteristic, aiming at the requirements of autonomy, real-time and navigation precision for small body exploration mission. The search criterion of the OFR is given after defining the OFR. Then, perform the detection and matching process of OFRs in...
Microseismic monitoring technology has broad application prospects in large-scale civil engineering safety monitoring fields, such as tunnels. However, due to the lack of a perfect localization method, the microseismic monitoring system has the large localization error at present. To solve this problem, firstly, we preprocess the chaotic microseismic signal, using power spectrum analysis method to...
This paper presents a novel methodology to obtain a measure of the difficulty of a scenario to obtain accurate localization results when testing an indoor positioning method. The variables used to measure indoor localization methods' accuracy are strongly dependent on the radio map used to test them. This makes it hard to compare different methods' performance. The proposed RMID indicator can be used...
In multiple-target tracking problem, data association technique plays an significant role. When targets move closely or crosswise, performances of conventional data association algorithms which use kinematic information only may be degraded. Actually, beside the kinematic information, sensors always can obtain feature information about the target, and incorporating the features into data association...
To meet the performance requirements of real-time and high accuracy for autonomous docking of modular self-reconfigurable CubeSats, a vision-based method is proposed by setting a cooperative target on a CubeSat and combining with Fractional-Order Darwinian Particle Swarm Optimization algorithm. Firstly, a monocular camera is utilized to grab images of the cooperation target. Then an image intelligent...
As the modern world is gradually becoming internet and computer savvy with huge amount of information stored and exchanged over the internet through digital images for covert communication. There are different methods to hide information in digital images in different domain. First part of this paper gives concise information about different approaches for exiting steganalysis techniques for information...
We propose a feature extraction method for lane changes of other traffic participants. According to previous research, over 90 % of car crashes are caused by human mistakes, and lane changes are the main factor. Therefore, if an intelligent system can predict a lane change and alarm a driver before another vehicle crosses the center line, this can contribute to reducing the accident rate. The main...
A new fast location and pose detection method is proposed in this paper. Compared with the methods based on template matching, this method can realize the fast detection of the location and pose of the workpiece. Firstly, it extracts the inner and outer contours of the workpiece after image preprocessing, then the regional core-shape method based the outer contour is adopted to calculate the center...
A method for synthesizing the stroboscopic image of a moving sports player from a hand-held camera sequence is proposed. In this method, a player is extracted from each frame of an input video sequence using a HOG-based people detector. After removing the bounding box of the extracted player from each frame, all frames are stitched together to generate a background image without the player. The player's...
We propose a new approach to the development of a touch interface using surface-mounted sensor which allows one to convert a rigid surface into a touch pad. This is achieved by using location template matching (LTM), a source localization algorithm that is robust to dispersion and multipath. In this interdisciplinary research, we analyze the mechanical model for vibrations due to impacts on plate...
Kinect have been used as a revolutionary sensor for recent human activity recognition research, mainly due to its ready skeletal joint information that facilitates activity analysis. However, the sensor's unstable and imprecise measurement may impair the analysis results. To alleviate this impact due to the unavoidable noisy measurement, this paper presents a recognition approach based on the relative...
As the latest interconnect technology, Silicon (TSV, Through-Silicon-Via) is passed through chip and chip, wafer and wafer for vertical conduction, it greatly reduce the cable length and electrical signals delays, also improve the integration of electronic devices and electrical performance, as the latest 3D circuit integration technology, the TSV occupy a large area of the circuit compare to the...
In this study, a visual guidance system concept is developed to be utilized in satellite rendezvous applications which involves estimating the location, orientation, linear and angular velocities of a target object (with a predefined shape) with respect to the main object. The visual guidance system relies on the reference markers on the target or extracted SURF feature points. Stereo Vision System...
Many industrial applications require to determine the absolute position of an extended surface without modifying or touching the target object. This contribution presents a concept for an optical absolute position sensor based on an off the shelf camera, operating perpendicular to an extended surface over long strokes, as necessary e.g. for piston actuators. The proposed sensor uses a Particle Filter...
Binaural localization of speech sources in 3-D, using head-related transfer functions (HRTFs), always suffers elevation ambiguity due to the limited high frequency spectral information available at the receivers. This paper presents a method that overcomes this limitation by exploiting the interaural phase and magnitude features present in the HRTF. We (i) introduce a new feature vector that combines...
This document describes the analysis of Electroenchaplogram (EEG) or brain signals using computational tool (LabVIEW) to interpret human thought such as moving forward, backward, turn right, turn left and to stop. This study is conducted to assist the disable people to communicate with external environment. The EEG signals are captured using wireless EEG amplifier while the subject in relax conditioin...
The existing GNSS (Global Navigation Satellite System) has the weakness in availability and continuity for the vehicles in urban area since the number of visible satellites decreases abruptly due to large buildings and other structures. In this paper, a new method is proposed to estimate the relative lateral distance of a vehicle from surrounding buildings by a vision sensor to supplement the shortage...
We propose a new feature called Global Reoccurrence Measure for extracting keywords from a document. It expresses the characteristic of keywords that they reoccur frequently in local areas, and have wide coverage in a document. Experiments show that the global reoccurrence measure can improve the performance of keyword extraction. We also propose a new metric called extraction quality for performance...
Compression of documents, images, audios and videos have been traditionally practiced to increase the efficiency of data storage and transfer. However, in order to process or carry out any analytical computations, decompression has become an unavoidable pre-requisite. In this research work, we have attempted to compute the entropy, which is an important document analytic directly from the compressed...
This paper describes the results of the analysis of specific ‘feature detection and recognition’ algorithms within a Machine Vision approach for the problem of aerial refueling for unmanned aerial vehicles. In order to precisely obtain the center of the features of the aircraft tanker and refueling drogue in the images of vision-based navigation during automated aerial refueling docking, a feature...
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