Pipelined architecture for real time detection and tracking of moving objects on an hybrid device

2017 ◽  
Author(s):  
Chenini Hanen
Keyword(s):  
Real Time ◽  
Moving Objects ◽  
Hybrid Device ◽  
Pipelined Architecture ◽  
Detection And Tracking ◽  
Real Time Detection

Real time detection and tracking of Gauzes by RFID UWB technique

2010 ◽  
Author(s):  
S. Boncinelli ◽  
P. Citti ◽  
E. Del Re ◽  
G. Campatelli ◽  
L. Pierucci ◽  
...  
Keyword(s):  
Real Time ◽  
Detection And Tracking ◽  
Real Time Detection

scholarly journals Real Time Detection and Tracking of Spatial Event Clusters

2015 ◽  
pp. 316-319 ◽  
Author(s):  
Natalia Andrienko ◽  
Gennady Andrienko ◽  
Georg Fuchs ◽  
Salvatore Rinzivillo ◽  
Hans-Dieter Betz
Keyword(s):  
Real Time ◽  
Detection And Tracking ◽  
Real Time Detection

scholarly journals DETECTION AND TRACKING OF MOVING OBJECTS WITH REAL-TIME ONBOARD VISION SYSTEM

2017 ◽  
Vol XLII-2/W4 ◽  
pp. 67-71 ◽  
Author(s):  
D. Y. Erokhin ◽  
A. B. Feldman ◽  
S. E. Korepanov
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Video Sequence ◽  
Moving Objects ◽  
Vision System ◽  
Unmanned Aircraft ◽  
Computer Vision System ◽  
Geometric Transformations ◽  
Detection And Tracking ◽  
Video Sensor

Detection of moving objects in video sequence received from moving video sensor is a one of the most important problem in computer vision. The main purpose of this work is developing set of algorithms, which can detect and track moving objects in real time computer vision system. This set includes three main parts: the algorithm for estimation and compensation of geometric transformations of images, an algorithm for detection of moving objects, an algorithm to tracking of the detected objects and prediction their position. The results can be claimed to create onboard vision systems of aircraft, including those relating to small and unmanned aircraft.

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