scholarly journals Automating Video File Carving and Content Identification

Author(s):  
York Yannikos ◽  
Nadeem Ashraf ◽  
Martin Steinebach ◽  
Christian Winter
2007 ◽  
Author(s):  
John Gibson ◽  
Ben Wellner ◽  
Susan Lubar

2014 ◽  
Vol 11 ◽  
pp. S68-S76 ◽  
Author(s):  
Thomas Gloe ◽  
André Fischer ◽  
Matthias Kirchner

2014 ◽  
Vol 533 ◽  
pp. 218-225 ◽  
Author(s):  
Rapee Krerngkamjornkit ◽  
Milan Simic

This paper describes computer vision algorithms for detection, identification, and tracking of moving objects in a video file. The problem of multiple object tracking can be divided into two parts; detecting moving objects in each frame and associating the detections corresponding to the same object over time. The detection of moving objects uses a background subtraction algorithm based on Gaussian mixture models. The motion of each track is estimated by a Kalman filter. The video tracking algorithm was successfully tested using the BIWI walking pedestrians datasets [. The experimental results show that system can operate in real time and successfully detect, track and identify multiple targets in the presence of partial occlusion.


2015 ◽  
Vol 53 (11) ◽  
pp. 3621-3623 ◽  
Author(s):  
Laurent Ferraris ◽  
Sophia Schönherr ◽  
Philippe Bouvet ◽  
Brunhilde Dauphin ◽  
Michel Popoff ◽  
...  

“Clostridium neonatale” sp. nov., previously involved in an outbreak of neonatal necrotizing enterocolitis, was recently proposed as a new species of theClostridiumgenussensu stricto. We developed a one-step multiplex colony PCR forC. neonataleidentification and investigatedC. neonataleintestinal colonization frequency in healthy preterm neonates.


Author(s):  
Jihyun Park ◽  
Sang-Kwang Lee ◽  
Young-Suk Yoon ◽  
Won-Yong Yoo

2017 ◽  
Vol 23 ◽  
pp. 11-21 ◽  
Author(s):  
Kai Shi ◽  
Ming Xu ◽  
Haoxia Jin ◽  
Tong Qiao ◽  
Xue Yang ◽  
...  
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