Novel Approach of Video Tracking System Using Learning-Based Mechanism over Crowded Environment

Author(s):  
Karanam Sunil Kumar ◽  
N. P. Kavya
2016 ◽  
Vol 268 ◽  
pp. 163-170 ◽  
Author(s):  
Suzanne M. Peters ◽  
Ilona J. Pinter ◽  
Helen H.J. Pothuizen ◽  
Raymond C. de Heer ◽  
Johanneke E. van der Harst ◽  
...  

1979 ◽  
Vol 18 (1) ◽  
pp. 180125
Author(s):  
A. L. Gilbert

2018 ◽  
Vol 69 (4) ◽  
pp. 371-384
Author(s):  
Sareesh Naduvil Narayanan ◽  
Raju Suresh Kumar

Author(s):  
Hiroki ADACHI ◽  
Mitsuhiro INOKUCHI ◽  
Kohei SHIMASAKI ◽  
Mingjun JIANG ◽  
Takeshi TAKAKI ◽  
...  

2015 ◽  
Vol 57 ◽  
pp. 39-45 ◽  
Author(s):  
Tsukasa Fukunaga ◽  
Shoko Kubota ◽  
Shoji Oda ◽  
Wataru Iwasaki

2014 ◽  
Vol 6 ◽  
pp. JCNSD.S13194 ◽  
Author(s):  
Fiona A. Desland ◽  
Aqeela Afzal ◽  
Zuha Warraich ◽  
J Mocco

Animal models of stroke have been crucial in advancing our understanding of the pathophysiology of cerebral ischemia. Currently, the standards for determining neurological deficit in rodents are the Bederson and Garcia scales, manual assessments scoring animals based on parameters ranked on a narrow scale of severity. Automated open field analysis of a live-video tracking system that analyzes animal behavior may provide a more sensitive test. Results obtained from the manual Bederson and Garcia scales did not show significant differences between pre- and post-stroke animals in a small cohort. When using the same cohort, however, post-stroke data obtained from automated open field analysis showed significant differences in several parameters. Furthermore, large cohort analysis also demonstrated increased sensitivity with automated open field analysis versus the Bederson and Garcia scales. These early data indicate use of automated open field analysis software may provide a more sensitive assessment when compared to traditional Bederson and Garcia scales.


1997 ◽  
Vol 6 (2) ◽  
pp. 147-162 ◽  
Author(s):  
Eric Growney ◽  
Dwight Meglan ◽  
Marjorie Johnson ◽  
Thomas Cahalan ◽  
Kai-Nan An

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