Tracking of multiple objects with time-adjustable composite correlation filters

2017 ◽  
Author(s):  
Alexey Ruchay ◽  
Vitaly Kober ◽  
Ilya Chernoskulov
Keyword(s):  
Correlation Filters ◽  
Multiple Objects

Real-time tracking of multiple objects using adaptive correlation filters with complex constraints

2013 ◽  
Vol 309 ◽  
pp. 265-278 ◽  
Author(s):  
Victor H. Diaz-Ramirez ◽  
Viridiana Contreras ◽  
Vitaly Kober ◽  
Kenia Picos
Keyword(s):  
Real Time ◽  
Correlation Filters ◽  
Multiple Objects ◽  
Complex Constraints ◽  
Real Time Tracking

scholarly journals Real-time tracking of multiple objects with locally adaptive correlation filters

2017 ◽  
Author(s):  
Alexey N. Ruchay ◽  
◽  
Vitaly I. Kober ◽  
Ilya E. Chernoskulov ◽  
◽  
...  
Keyword(s):  
Real Time ◽  
Correlation Filters ◽  
Multiple Objects ◽  
Locally Adaptive ◽  
Real Time Tracking

Stereo modeling of HVEM specimens by serial tilting and computer graphics

1986 ◽  
Vol 44 ◽  
pp. 34-35
Author(s):  
J.R. McIntosh ◽  
D.L. Stemple ◽  
William Bishop ◽  
G.W. Hannaway
Keyword(s):  
Computer Graphics ◽  
Analytical Methods ◽  
Photographic Film ◽  
Complex Structures ◽  
Multiple Objects ◽  
Multiple Images ◽  
3 Dimensional

EM specimens often contain 3-dimensional information that is lost during micrography on a single photographic film. Two images of one specimen at appropriate orientations give a stereo view, but complex structures composed of multiple objects of graded density that superimpose in each projection are often difficult to decipher in stereo. Several analytical methods for 3-D reconstruction from multiple images of a serially tilted specimen are available, but they are all time-consuming and computationally intense.

The interpretation of singular nouns in the scope of an event-distributive quantifier

2019 ◽  
Vol 5 (1) ◽  
pp. 1-9
Author(s):  
Piotr Gulgowski
Keyword(s):  
Present Experiment ◽  
Multiple Objects ◽  
Multiple Events ◽  
Singular Noun ◽  
Distributive Operator

Abstract Singular nouns in the scope of a distributive operator have been shown to be treated as conceptually plural (Patson and Warren, 2010). The source of this conceptual plurality is not fully clear. In particular, it is not known whether the concept of plurality associated with a singular noun originates from distributing over multiple objects or multiple events. In the present experiment, iterative expressions (distribution over events) were contrasted with collective and distributive sentences using a Stroop-like interference technique (Berent, Pinker, Tzelgov, Bibi, and Goldfarb, 2005; Patson and Warren, 2010). A trend in the data suggests that event distributivity does not elicit a plural interpretation of a grammatically singular noun, however the results were not statistically significant. Possible causes of the non-significant results are discussed.

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