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Camera pose estimation from image is one of the key issues in computer vision. Most existing approaches need embed a visual mark in the object's texture for camera pose estimation. However, a visual mark spoils the unity of the image. This paper introduces a novel pose estimation method using the spatial frequency domain analysis. In this method, the high frequency marker that is hard to distinguish...
Micro UAVs (Unmanned Aerial Vehicle) have been widely applied in many fields, such as military reconnaissance, emergency rescue and environmental monitoring, due to their outstanding flexibility and maneuverability. Accurate estimation of cruise duration is an important information for Micro UAVs to complete tasks successfully. Micro UAVs will meet a variety of flight conditions during the complex...
Since compressive sensing (CS) is robust to noise and does not require any special hardware, CS-based methods are advantageous to other ones for increasing MRI speed. Monotonic re-ordering (sorting) of the desired signal can increase its sparsity and consequently CS reconstruction efficiency. To use this, it is essential to estimate re-ordering operator which usually has been done by parallel imaging...
An algorithm to insert augmented reality in sports scenes is presented. The goal is to augment an image to the scene so that it appears as a part of the original scene. The proposed algorithm uses the homography relationship between the image coordinates and the world coordinates, then utilizes the Sift algorithm to find the corresponding points between two frames. By using the homography map we can...
This paper proposes an incremental localization algorithm in wireless sensor network based on the estimation of distribution algorithms. In this algorithm, the distances between an unknown node and the anchor nodes are measured, and then samples are chosen in the area in which the unknown node is located possibly. Thus, the high accuracy samples selection is based on the calculated fitness, and the...
A new positioning system intended for localization of fire-fighters and members of rescue teams is currently developed at the University of Pardubice. The system is based on TDOA method using a wideband OFDM signal to separate the direct signal of a bundle of delayed replicas, created in a multipath channel. In the paper, the received signal model is introduced and analyzed using selected spectrum...
In this paper, we propose a Multi-Anchor Nodes Collaborative Localization (MANCL) algorithm, a three-dimensional (3D) localization scheme considering anchor nodes and upgrade anchor nodes within two hops for underwater acoustic sensor networks (UASNs). The MANCL algorithm divides the whole localization process into four sub-processes: ordinary node localization process, iterative location estimation...
This paper describes a method for estimating the location of an IP-connected camera (a web cam) by analyzing a sequence of images obtained from the camera. First, we classify each image as Day/Night using the mean luminance of the sky region. From the Day/Night images, we estimate the sunrise/set, the length of the day, and local noon. Finally, the geographical location (latitude and longitude) of...
In order to enhance the understanding of important concepts and strengthen the awareness of software process, we designed a special project-practicing course in Nanjing University as an attempt to solve typical issues in these courses (e.g., focusing on aspects of software process, participation, limited time in a regular semester, etc.). The course is composed of 6-hour lecture and 32-hour bidding...
We present eNav, a smartphone-based vehicular GPS navigation system that has an energy-saving location sensing mode capable of drastically reducing navigation energy needs. Traditional implementations sample the phone GPS at the highest possible rate (usually 1Hz) to ensure constant highest possible localization accuracy. This practice results in excessive phone battery consumption and reduces the...
Received signal strength indicator(RSSI) is considered as a good estimator of link quality and is also used to estimate the range between nodes in WSN. This paper analyzed the multipath effects on accuracy of range estimation using RSSI. Experiments are carried on in different environments. Through the analysis of experiments results, we can draw the conclusion that the estimation accuracy is getting...
In the low-frequency shallow water, the sign of the active component of pressure and horizontal velocity cross spectrum of double vector hydrophones varies with source depth and distance between source and receivers regularly. This character can be used to determine the source location relative to a critical depth. In this paper, several vertically located vector hydrophones are simulated and the...
Freak wave may cause danger to ships or people who active at coastal area. Prediction of freak wave can provide early alarm information and hence reduce risks of hazards. However, due to the unclear of freak wave mechanism, deterministic prediction is not possible but stochastic method can be used for research of occurrence probability of freak waves. In this study, nonlinear wave theory is considered...
Motivated by the recent advances on internet of things (IoT) and the importance that location information has on many application scenarios, this article offers references to theoretical and localization-algorithmic tools that can be utilised in connection with IoT. We develop this discussion from basic to sophisticated localization techniques covering also some less-intuitive notions of localization,...
Out of sample fusion is a computational method where real and independent computer generated data are fused. The method hinges on a density ratio model whereby the distributions of the real and the generated data are related. The method is applied in the interval estimation of very small binomial proportions from moderately large samples.
In the field of machine vision, a very important task is to use the visual information to estimate the attitude of camera. The traditional approach is to embed a visual mark in the image's texture for attitude estimation. However, a visual mark would spoil the unity of the image. This paper introduces a novel attitude estimation method using the spatial frequency domain analysis. In this method, the...
NoSQL key-value data stores provide an attractive solution for big data management. With the help of data partitioning and replication, those data stores achieve higher levels of availability, scalability and reliability. Such design choices typically exhibit a tradeoff in which data freshness is sacrificed in favor of reduced access latency. At the replica-level, this tradeoff is primarily shaped...
Location based social networks (LBSNs) are becoming increasingly popular with the fast deployment of broadband mobile networks and the growing prevalence of versatile mobile devices. This success has attracted great interest in studying and measuring the characteristics of LBSNs, such as Facebook Places, Yelp, and Google+ Local. However, it is often prohibitive, and sometimes too costly, to obtain...
This paper introduce a new Automatic radar tracking system with multiple observations from Multistatic radar using a Particle filter as a nonlinear predictor for data fusion and prediction. The algorithm is based on using Particle filter instead of using a linear or non-linear Kalman Filter (Extended Kalman Filter). Particle filtering, also known as Sequential Monte Carlo, is an attractive estimation...
The objective of this paper is to find out the peak age of person getting anger in Chennai, for that we study the dimensions of personality of person. Personality has been classified in to five factors as Openness, Conscientiousness, Extraversion, Agreeableness and Negative Emotion. Each of these dimensions has six facets. For the first time in 1998 fuzzy matrix theory was developed by W.B. Vasantha...
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