Automatic Detection and Tracking of Plumes from 67P/Churyumov–Gerasimenko in Rosetta/OSIRIS Image Sequences

2019 ◽  
Vol 157 (1) ◽  
pp. 27
Author(s):  
David Brown ◽  
William C. Huffman ◽  
Holger Sierks ◽  
David R. Thompson ◽  
Steve A. Chien
Keyword(s):  
Automatic Detection ◽  
Image Sequences ◽  
Detection And Tracking

Analgorithmic Framework for Automatic Detection and Tracking Moving Point Targets in IR Image Sequences

2015 ◽  
Vol 65 (3) ◽  
pp. 208-213
Author(s):  
R. Anand Raji ◽  
Ravi Shankar Chekuri ◽  
Ravi Kumar Karri ◽  
A.P. Regu Kumar
Keyword(s):  
Automatic Detection ◽  
Image Sequences ◽  
Detection And Tracking

Automatic detection and tracking of contacts based in clusterization applied in passive sonar

2019 ◽  
Vol 146 (4) ◽  
pp. 3017-3017
Author(s):  
Fabio O. Silva ◽  
Fabrício Bozzi ◽  
Fernando d. Monteiro ◽  
William S. Filho ◽  
Carlos F. Soares
Keyword(s):  
Automatic Detection ◽  
Passive Sonar ◽  
Detection And Tracking

scholarly journals Improving subviral particle tracks in fluoroscopic image sequences by global motion compensation

2017 ◽  
Vol 3 (2) ◽  
pp. 211-215
Author(s):  
Andreas Rausch ◽  
Thomas Schanze
Keyword(s):  
Modern Medicine ◽  
Image Sequences ◽  
Global Motion ◽  
Great Ability ◽  
Medicine Research ◽  
Detection And Tracking ◽  
Linear Assignment Problem ◽  
Cross Correlations ◽  
Subviral Particle ◽  
Linear Assignment

AbstractAutomatic detection and tracking of subviral particles in image sequences is an indispensable supportive method for modern medicine research programs. This paper describes the development of a highly adaptable camera-to-world system motion invariant tracking algorithm. A translation compensation is obtained by cross correlations. Particles are detected by an implemented existing algorithm. The detected particles are linked by solving a Linear Assignment Problem. For highly stable results the tracks are improved by Kalman filtering. The algorithm is tested on simulated sequences. The results show a great ability for stable tracking.

scholarly journals Two Algorithms for the Detection and Tracking of Moving Vehicle Targets in Aerial Infrared Image Sequences

2015 ◽  
Vol 8 (1) ◽  
pp. 28 ◽  
Author(s):  
Yutian Cao ◽  
Gang Wang ◽  
Dongmei Yan ◽  
Zhongming Zhao
Keyword(s):  
Infrared Image ◽  
Image Sequences ◽  
Moving Vehicle ◽  
Detection And Tracking
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