scholarly journals Object Tracking in Crowded Video Scenes Based on the Undecimated Wavelet Features and Texture Analysis

2007 ◽  
Vol 2008 (1) ◽  
Author(s):  
M. Khansari ◽  
H. R. Rabiee ◽  
M. Asadi ◽  
M. Ghanbari
Keyword(s):  
Object Tracking ◽  
Texture Analysis ◽  
Wavelet Features ◽  
Undecimated Wavelet

Multiple-Object Tracking

2011 ◽  
Vol 58 (3) ◽  
pp. 196-200 ◽  
Author(s):  
K. Botterill ◽  
R. Allen ◽  
P. McGeorge
Keyword(s):  
Object Tracking ◽  
Cognitive Processes ◽  
Spatial Location ◽  
Multiple Object Tracking ◽  
Tracking Performance ◽  
Multiple Object

The Multiple-Object Tracking paradigm has most commonly been utilized to investigate how subsets of targets can be tracked from among a set of identical objects. Recently, this research has been extended to examine the function of featural information when tracking is of objects that can be individuated. We report on a study whose findings suggest that, while participants can only hold featural information for roughly two targets this task does not affect tracking performance detrimentally and points to a discontinuity between the cognitive processes that subserve spatial location and featural information.

Predictable paths increase the use of motion in object tracking

2010 ◽  
Author(s):  
Adriane E. Seiffert ◽  
Rebecca St. Clair
Keyword(s):  
Object Tracking
Sign in / Sign up

Export Citation Format

Share Document