scholarly journals Effective biosonar echo-to-clutter rejection ratio in a complex dynamic scene

2015 ◽  
Vol 138 (2) ◽  
pp. 1090-1101 ◽  
Author(s):  
Jeffrey M. Knowles ◽  
Jonathan R. Barchi ◽  
Jason E. Gaudette ◽  
James A. Simmons
Keyword(s):  
Dynamic Scene ◽  
Complex Dynamic ◽  
Rejection Ratio ◽  
Clutter Rejection

scholarly journals BRLO-Tree: A Data Structure Used for 3D GIS Dynamic Scene Rendering

2015 ◽  
Vol 15 (4) ◽  
pp. 124-137 ◽  
Author(s):  
Wenju Wang ◽  
Zhang Xuan ◽  
Liujie Sun ◽  
Zhongmin Jiang ◽  
Jingjing Shang
Keyword(s):  
Data Structure ◽  
Large Scale ◽  
Three Dimensional ◽  
Level Of Detail ◽  
Dynamic Scene ◽  
3D Gis ◽  
Dynamic Scenes ◽  
Complex Dynamic ◽  
3D Objects ◽  
System A

Abstract BRLO-Tree (Block-R-Tree-Loose-Octree) is presented in this paper based on the R-Tree and Loose-Octree. The aim of the structure is to visualize the large scale and complex dynamic scenes in a 3D (three-dimensional) GIS (Geographic Information System). A new method of clustering rectangles to construct R-tree based on an improved K-means algorithm is put forward. Landform in 3D GIS is organized by R-Tree. The block is used as the basic rendering unit. The 3D objects of each block are respectively organized by a Loose-Octree. A series of techniques, based on this data structure, such as LOD (Level of Detail), relief impostors are integrated. The results of the tests show that BRLO-Tree cannot only support the large scale 3D GIS scene exhibition with wandering and fighting, but it can also efficiently manage the models in a dynamic scene. At the same time, a set of integrated techniques based on BRLO-Tree can make the rendering pictures more fluence and the rendering time vastly improved.

scholarly journals MODFAT: Moving Object Detection by Removing Shadow Based on Fuzzy Technique with an Adaptive Thresholding Method

2021 ◽  
Vol 35 (2) ◽  
pp. 177-183
Author(s):  
Shilpa Mohankumar ◽  
Gopalakrishna Madigondanahalli Thimmaiah ◽  
Naveena Chikkaguddaiah ◽  
Vishruth B. Gowda
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Shadow Removal ◽  
Background Illumination ◽  
Dynamic Scene ◽  
Complex Dynamic ◽  
Illumination Variation ◽  
The Common ◽  
Fuzzy Thresholding

Nowadays, in this technology centric world, gadgets have become handy due to miniaturization. Especially cameras are widely used device for many aspects, one of the common applications is human behavior identification and intelligent video surveillance. In a such application moving object detection in complex dynamic scene is a tedious task due to various challenges such as occlusion, background illumination variation and shadow. Shadows are created in light occlusion in the object it has major impact in accurate object detection. In this paper, object detection with elimination of shadow is addressed. Many existing methods have failed in discriminating the actual moving object from shadow object very accurately. In order to overcome the limitations of existing methods, an improved fuzzy technique rule is used for shadow removal and an adaptive fuzzy thresholding is used for segmenting a foreground object in background. The proposed techniques are experimented with standard and our own datasets and also, it is compared with other existing approaches. Results of proposed method shows improved reliability.

Kalman Partule Fitter Algorithm for Moving Target Tracking Based on the Complex Dynamic Scene

2014 ◽  
Vol 51 (9) ◽  
pp. 091001
Author(s):  
廖逸琪 Liao Yiqi ◽  
任侃 Ren Kan ◽  
顾国华 Gu Guohua ◽  
钱惟贤 Qian Weixian ◽  
徐富元 Xu Fuyuan
Keyword(s):  
Target Tracking ◽  
Moving Target ◽  
Dynamic Scene ◽  
Complex Dynamic ◽  
Moving Target Tracking

Transforming organizational culture in complex, dynamic environments for safety

2009 ◽  
Author(s):  
Sallie J. Weaver ◽  
Rebecca Lyons ◽  
Eduardo Salas ◽  
David A. Hofmann
Keyword(s):  
Organizational Culture ◽  
Dynamic Environments ◽  
Complex Dynamic
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