Object tracking and classification using laserscanners-pedestrian recognition in urban environment

2002 ◽  
Author(s):  
K. Fuerstenberg ◽  
V. Willhoeft
Keyword(s):  
Object Tracking ◽  
Urban Environment

Stereo-Camera-Based Urban Environment Perception Using Occupancy Grid and Object Tracking

2012 ◽  
Vol 13 (1) ◽  
pp. 154-165 ◽  
Author(s):  
Thien-Nghia Nguyen ◽  
Bernd Michaelis ◽  
Ayoub Al-Hamadi ◽  
Michael Tornow ◽  
Marc-Michael Meinecke
Keyword(s):  
Object Tracking ◽  
Urban Environment ◽  
Stereo Camera ◽  
Occupancy Grid ◽  
Environment Perception

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

Location and identity are entangled in multiple-object tracking

2010 ◽  
Author(s):  
Todd S. Horowitz ◽  
Michael A. Cohen ◽  
Yair Pinto ◽  
Piers D. L. Howe
Keyword(s):  
Object Tracking ◽  
Multiple Object Tracking ◽  
Multiple Object
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