Typhoon Cloud Tracking by Kalman Filter

2011 ◽  
Vol 58-60 ◽  
pp. 2487-2492
Author(s):  
Ying Lv
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
Region Of Interest ◽  
Experimental Results ◽  
Interactive Methods ◽  
Bézier Curve ◽  
Gray Level ◽  
Reference Region ◽  
Gray Level Histogram ◽  
Cloud Tracking

Typhoon cloud has its changeability, so it is difficult to track and predict compared with the rigid targets. Region of interest (ROI) and reference region were selected by using interactive methods. Bezier curve is used to smooth the gray level histogram of ROI and obtain Bezier histogram. The gray level value which is corresponding to the valley of the Bezier histogram is used to segment the ROI in order to get the tracking target. And target parameters could be predicted by using Kalman filter, then getting the moving track of the target. Experimental results show that the proposed algorithm has nice real-time ability and adaptability.

Real-Time Identification and Tracking of Infrared Markers Based on Kalman Filter

2012 ◽  
Vol 249-250 ◽  
pp. 1147-1153
Author(s):  
Qiao Na Xing ◽  
Da Yuan Yan ◽  
Xiao Ming Hu ◽  
Jun Qin Lin ◽  
Bo Yang
Keyword(s):  
Kalman Filter ◽  
Visible Light ◽  
Real Time ◽  
Complex Terrain ◽  
Experimental Results ◽  
Identification Method ◽  
In The Wild ◽  
Real Time Identification

Automatic equipmenttransportation in the wild complex terrain circumstances is very important in rescue or military. In this paper, an accompanying system based on the identification and tracking of infrared LEDmarkers is proposed. This system avoidsthe defect that visible-light identification method has. In addition, this paper presents a Kalman filter to predict where infraredmarkers may appear in the nextframe imageto reduce the searchingarea of infrared markers, which remarkablyimproves the identificationspeed of infrared markers. The experimental results show that the algorithm proposed in this paper is effective and feasible.

Study on Urban Expressway Lane Mark Detection in Special Conditions

2011 ◽  
Vol 305 ◽  
pp. 164-167
Author(s):  
Xin Sheng He ◽  
Shi Shi Wang ◽  
Zhi Yong Cai ◽  
Dong Yun Wang
Keyword(s):  
Warning System ◽  
Region Of Interest ◽  
Detection Algorithm ◽  
Gray Level ◽  
Test Results ◽  
The Road ◽  
Wide Range ◽  
Lane Line ◽  
Image Pixels ◽  
Gray Level Histogram

Detection algorithm of lane line under the special condition is based on focal and difficult point of lane line departure warning system of computer vision. This article firstly deals with the image compression and grayscale, establishes reasonable region of interest, and remove the non-road information in the image; Then we proceed the probabilistic and statistical computing for the image pixels, draw the gray level histogram. By analyzing the dynamic gray level histogram, we identify the lane line and grey value of the road and automatically calculate the reasonable threshold to binarizate then denoise the images. Last we label the images to reach the goal of identification of lane line and establishment the space between lane line and vehicles. The test results show that: the algorithm mentioned in this paper can not only detect the lane line accurately in real time, but also it enjoys a wide range of applicability to provide reference for improvement of lane line departure warning system.

Comparison of Quantification Methods of111In-Labelled Platelet Deposition in Peripheral Bypass Grafts

1987 ◽  
Vol 26 (02) ◽  
pp. 87-92 ◽  
Author(s):  
A. Verbruggen ◽  
C. De Bakker ◽  
A. Vandecruys ◽  
J. Joosten ◽  
A. Nevelsteen ◽  
...  
Keyword(s):  
Gamma Camera ◽  
Reliable Method ◽  
Survival Curve ◽  
Region Of Interest ◽  
Reference Region ◽  
Visual Interpretation ◽  
Bypass Grafts ◽  
Antithrombotic Drugs ◽  
Exponential Regression ◽  
Peripheral Bypass

The action of antithrombotic drugs can be evaluated by measuring the deposition of111In-labelled platelets on peripheral bypass grafts several days after injection. This evaluation can be performed qualitatively (visual interpretation on the daily images) or quantitatively. Four different methods which calculate the ratio of platelet uptake with a reference region are compared: two methods use a gamma camera and two a detector. A blood sample or the region under the sternal angle are used as reference. The daily ratio of the counts, recorded by a gamma camera in a region of interest covering the graft, and the blood radioactivity interpolated from a platelet survival curve appears to be the most reliable method. The information of all the ratios can be combined in a single thrombogenicity index which reflects the daily rise of a linear or exponential regression versus time.

scholarly journals OFCOD: On the Fly Clustering Based Outlier Detection Framework

Data ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Ahmed Elmogy ◽  
Hamada Rizk ◽  
Amany M. Sarhan
Keyword(s):  
Data Mining ◽  
Image Processing ◽  
Intrusion Detection ◽  
Real Time ◽  
Outlier Detection ◽  
Real World ◽  
Medical Data ◽  
Experimental Results ◽  
Real Time Applications ◽  
Real World Datasets

In data mining, outlier detection is a major challenge as it has an important role in many applications such as medical data, image processing, fraud detection, intrusion detection, and so forth. An extensive variety of clustering based approaches have been developed to detect outliers. However they are by nature time consuming which restrict their utilization with real-time applications. Furthermore, outlier detection requests are handled one at a time, which means that each request is initiated individually with a particular set of parameters. In this paper, the first clustering based outlier detection framework, (On the Fly Clustering Based Outlier Detection (OFCOD)) is presented. OFCOD enables analysts to effectively find out outliers on time with request even within huge datasets. The proposed framework has been tested and evaluated using two real world datasets with different features and applications; one with 699 records, and another with five millions records. The experimental results show that the performance of the proposed framework outperforms other existing approaches while considering several evaluation metrics.

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