Marine Object Detection Based on Kalman Filtering
نویسندگان
چکیده
347 Abstract— In this paper, although Radar has been used for a long time, integrated scheme with visual camera is an efficient way to enhance marine surveillance system. Camera image is focused by radar information but it is easy to be fallen into inaccurate operation due to environmental noises. We have proposed a method to filter the noises by moving average filter and Kalman filter. It is proved that Kalman filtered results preserves linearity while the former includes larger variance.
منابع مشابه
On-Line Nonlinear Dynamic Data Reconciliation Using Extended Kalman Filtering: Application to a Distillation Column and a CSTR
Extended Kalman Filtering (EKF) is a nonlinear dynamic data reconciliation (NDDR) method. One of its main advantages is its suitability for on-line applications. This paper presents an on-line NDDR method using EKF. It is implemented for two case studies, temperature measurements of a distillation column and concentration measurements of a CSTR. In each time step, random numbers with zero m...
متن کاملTracking Multiple Moving Objects Using Unscented Kalman Filtering Techniques
It is an important task to reliably detect and track multiple moving objects for video surveillance and monitoring. However, when occlusion occurs in nonlinear motion scenarios, many existing methods often fail to continuously track multiple moving objects of interest. In this paper we propose an effective approach for detection and tracking of multiple moving objects with occlusion. Moving tar...
متن کاملA Survey on Visual Object Tracking Algorithms
Due to the increasing demand of a faster and more reliable target tracking ability specifically for some critical applications such as military navigation and Robotics, using prediction and estimation concepts have been comprehensively studied. As a result of this demand, old and modern estimation algorithms based on probabilistic Baysian algorithms have been employed. In the case of visual obj...
متن کاملMotion detection by a moving observer using Kalman filter and neural network in soccer robot
In many autonomous mobile applications, robots must be capable of analyzing motion of moving objects in their environment. Duringmovement of robot the quality of images is affected by quakes of camera which cause high errors in image processing outputs. In thispaper, we propose a novel method to effectively overcome this problem using Neural Networks and Kalman Filtering theory. Thistechnique u...
متن کاملAn Active Contour for Underwater Target Tracking and Navigation
This paper presents a vision based tracking system for routine underwater pipeline or cable inspection for autonomous underwater vehicles (AUV’s). The objective of this research paper is to investigate the issues of pipeline detection, including pose and orientation measurements in underwater environments. The proposed visual tracking system used an active contour method to track underwater obj...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- J. Inform. and Commun. Convergence Engineering
دوره 9 شماره
صفحات -
تاریخ انتشار 2011