Detection and Tracking of Multiple Intruders Using the Recursive-RANSAC Algorithm
نویسندگان
چکیده
Introduction Unmanned air systems (UAS) have been growing in popularity during the past 10 to 15 years. In 2001 the Pentagon had less than 50 unmanned aircraft and by 2012 had over 7,500 [1]. The Department of Defense has also shown more interest in unmanned aircraft by providing $6.0 billion in 2011 [2, 3]. UAS technology has not been growing within the United States territory as quickly due to regulations of integrating these aircraft within the National Airspace System (NAS). Because of these regulatory challenges the Department of Defense (DoD) has stated that, “integrating UAS into the NAS is essential to fulfill our airborne mission requirements” [4].
منابع مشابه
Online multiple people tracking-by-detection in crowded scenes
Multiple people detection and tracking is a challenging task in real-world crowded scenes. In this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. We have detected objects with deformable part models and a visual background extractor. In the tracking phase we have used a combination of support vector machine (SVM) person-specific classifie...
متن کاملDesign of an Intelligent Controller for Station Keeping, Attitude Control, and Path Tracking of a Quadrotor Using Recursive Neural Networks
During recent years there has been growing interest in unmanned aerial vehicles (UAVs). Moreover, the necessity to control and navigate these vehicles has attracted much attention from researchers in this field. This is mostly due to the fact that the interactions between turbulent airflows apply complex aerodynamic forces to the system. Since the dynamics of a quadrotor are non-linear and the ...
متن کاملMultiple Target Tracking With a 2-D Radar Using the JPDAF Algorithm and Combined Motion Model
Multiple target tracking (MTT) is taken into account as one of the most important topics in tracking targets with radars. In this paper, the MTT problem is used for estimating the position of multiple targets when a 2-D radar is employed to gather measurements. To do so, the Joint Probabilistic Data Association Filter (JPDAF) approach is applied to tracking the position of multiple targets. To ...
متن کاملApplying mean shift and motion detection approaches to hand tracking in sign language
Hand gesture recognition is very important to communicate in sign language. In this paper, an effective object tracking and hand gesture recognition method is proposed. This method is combination of two well-known approaches, the mean shift and the motion detection algorithm. The mean shift algorithm can track objects based on the color, then when hand passes the face occlusion happens. Several...
متن کاملRecursive RANSAC: Multiple Signal Estimation with Outliers
The random sample consensus (RANSAC) algorithm is frequently used in computer vision to estimate the parameters of a signal in the presence of noisy and even spurious observations called gross errors. Instead of just one signal, we desire to estimate the parameters of multiple signals, where at each time step a set of observations of generated from the underlying signals and gross errors are re...
متن کامل