scholarly journals A Scheme for the Detection and Tracking of People Tuned for Aerial Image Sequences

2011 ◽  
pp. 257-270 ◽  
Author(s):  
Florian Schmidt ◽  
Stefan Hinz
Keyword(s):  
Image Sequences ◽  
Aerial Image ◽  
Detection And Tracking

Detection and tracking of small targets in aerial image sequences under unknown sensor motion

1998 ◽  
Author(s):  
Thomas Fechner ◽  
Rainer Hach ◽  
Oliver Rockinger ◽  
Andreas Stenger ◽  
Peter Knappe ◽  
...  
Keyword(s):  
Image Sequences ◽  
Aerial Image ◽  
Detection And Tracking ◽  
Small Targets

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.

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

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

scholarly journals Improvement of a subviral particle tracker by the use of a LAP-Kalman-algorithm

2016 ◽  
Vol 2 (1) ◽  
pp. 415-418 ◽  
Author(s):  
Andreas Rausch ◽  
Dennis Müller ◽  
Thomas Schanze
Keyword(s):  
Image Sequences ◽  
Automated Detection ◽  
Problem Solver ◽  
Simulated Image ◽  
Original Algorithm ◽  
Detection And Tracking ◽  
Linear Assignment Problem ◽  
Particle Tracking Algorithm ◽  
Subviral Particle ◽  
Linear Assignment

AbstractAutomated detection and tracking of subviral particles is a promising method to obtain insights in complicated virus-cell interactions. This paper describes the implementation of a linear assignment problem solver and a Kalman-filter in an existing particle tracking algorithm. Two different simulated image sequences are used for the evaluation of the algorithms. Tracking and detection results of the new implemented solver are compared to the results of the original algorithm. The improved algorithm is able to improve the results by closing gaps in the particle tracks.

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