We show that our APIT scheme performs best when an irregular radio pattern and random node placement are considered, and low communication overhead is desired. In this paper, we present APIT, a novel localization algorithm that is range-free. Because coarse accuracy is sufficient for most sensor network applications, solutions in range-free localization are being pursued as a cost-effective alternative to more expensive range-based approaches. For such systems, the cost and limitations of hardware on sensing nodes prevent the use of range-based localization schemes that depend on absolute point-to-point distance estimates. Wireless Sensor Networks have been proposed for a multitude of location-dependent applications. Third, based on the singular points describe the matching descriptors between continuous light source images, calculating the object space displacement. Then, according to the image, build extraction model of the singular points. The organization of the paper is as follows: Part two shows the establishment of a given light source model, which is the transformation of pinhole to radiation model.
Through a calibration of the light source, then can calculate and track the position of the light source at once. Simultaneously our model does not require any pre-restrictions on the light source. This study can effectively solve the fitting center estimation error of the light source, luminous instability and low robustness to the noise. Finally according to the spatial parameters and pixel distance calculate the actual light movement. The se t of correspondences show the precision motion of the light source. Matching between corners which are represented singular po ints in consecutive images.
The neighborhood of corners in the image is called singular points which are characterized by a complex descriptor vector which presents a high robustness to illumination changes and small variations. According to the angle and intensity, then calculate a spatial position of the light source and camera position. In this paper, an efficient tracking is accomplished by the transforming of pinhole model to the illumination model and im posing restrictions related to the gradient magnitude and the corners. A method based on background reconstruction has a large impact on the environment such as light shifting and gives low robustness. A method based on contours extraction is hard to enhance the precision of the centroid tracking and unsolved the problem of lighting and camera angles. To begin with we will provide a brief background on the traditional research techniques which can be divided into contours extraction and background reconstruction. INTRODUCTION In this paper, we focus on the need fo r light source feature extraction and analysis, as it is much more important in the laser communications, laser guided and light source detection. Keywords: Light illumination tracking, Singular points, Li ght properties quantification, Point descriptor 1. A light source tracking method is under experiment. We think that this method would present a way that helps us to research in a different way and describe illuminant not only based on physical quantities, but also on the feature in the image. The results show that it shows a great potential on the problem of quantifications for light sources and tracking.
The entire model does not need any limitations for the light sources, which greatly enhanced the applicability of this model.
In this paper an algorithm based on light radiation model and combined with the singularities of gradient descent and strengthening method to describe the light sources is presented, which gives a way to describe light sources. Our future work will focus on enabling the iTracking system to writing Chinese characters in flashlight. We examine point light based tracking and flashlight based tracking in our demonstrations, which proves these two main sources of light in our daily life can achieve centimeter-level location-tracking requirements. Our main contribution is the first demonstration to track mobile light sources based on light intensity with high accuracy, which may provide an alternative method for localization and tracking or inspire game designers. The iTracking system is a mobile light source location-tracking system based on light intensity. In our paper, we propose to utilize light, an easily accessible and pervasive resource in our daily life, and off-the-shelf TelosB Motes to achieve the goal of stability and high accuracy in localization and tracking. However, systems using RF signals suffer accuracy fluctuations and systems using ultrasound or UWB need extra hardware. Most previous localization and tracking systems in wireless sensor networks are based on RF signals, ultrasounds, and UWB.
0 kommentar(er)
