An Efficient Method of the Combined Query for Moving Objects Using Prediction-Based Filtering

Author(s):  
Chaehoon Ban ◽  
Kwanghyun Kim ◽  
Seungseob Park ◽  
Jungbok Jo
2010 ◽  
Vol 143-144 ◽  
pp. 782-786
Author(s):  
Yang Jun Zhong ◽  
Shui Ping Zhang

This paper presents an efficient method for motion objects detection in dynamic background.Three main aspects compose the proposed method.Firstly,abundant SIFT matching pairs were obtained from two successive frames.Secondly, a robust global motion estimation method based on SIFT matching pairs was presented.Finally, the moving objects could be detected after we compensate the global motion.Evaluations based on extensive experiments have shown that the proposed method can achieve the motion detection in dynamic backgrounds.


2009 ◽  
Author(s):  
Piers D. Howe ◽  
Michael A. Cohen ◽  
Yair Pinto ◽  
Todd S. Horowitz
Keyword(s):  

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Fatima Ameen ◽  
Ziad Mohammed ◽  
Abdulrahman Siddiq

Tracking systems of moving objects provide a useful means to better control, manage and secure them. Tracking systems are used in different scales of applications such as indoors, outdoors and even used to track vehicles, ships and air planes moving over the globe. This paper presents the design and implementation of a system for tracking objects moving over a wide geographical area. The system depends on the Global Positioning System (GPS) and Global System for Mobile Communications (GSM) technologies without requiring the Internet service. The implemented system uses the freely available GPS service to determine the position of the moving objects. The tests of the implemented system in different regions and conditions show that the maximum uncertainty in the obtained positions is a circle with radius of about 16 m, which is an acceptable result for tracking the movement of objects in wide and open environments.


Sign in / Sign up

Export Citation Format

Share Document