scholarly journals All Pairs Shortest Path Formulation for Multiple Object Tracking with Application to Tennis Video Analysis

2007 ◽  
Author(s):  
F. Yan ◽  
B. Christmas ◽  
J. Kittler
Keyword(s):  
Object Tracking ◽  
Shortest Path ◽  
Video Analysis ◽  
Multiple Object Tracking ◽  
Multiple Object ◽  
All Pairs Shortest Path

scholarly journals Multiple Object Tracking Using the Shortest Path Faster Association Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Zhenghao Xi ◽  
Heping Liu ◽  
Huaping Liu ◽  
Bin Yang
Keyword(s):  
Integer Programming ◽  
Object Tracking ◽  
Programming Problem ◽  
Shortest Path ◽  
Multiple Object Tracking ◽  
Global Optimum ◽  
Integer Programming Problem ◽  
Tracking Accuracy ◽  
Worst Case ◽  
Multiple Object

To solve the persistently multiple object tracking in cluttered environments, this paper presents a novel tracking association approach based on the shortest path faster algorithm. First, the multiple object tracking is formulated as an integer programming problem of the flow network. Then we relax the integer programming to a standard linear programming problem. Therefore, the global optimum can be quickly obtained using the shortest path faster algorithm. The proposed method avoids the difficulties of integer programming, and it has a lower worst-case complexity than competing methods but better robustness and tracking accuracy in complex environments. Simulation results show that the proposed algorithm takes less time than other state-of-the-art methods and can operate in real time.

Dynamic shortest path association for multiple object tracking in video sequence

2015 ◽  
Vol 24 (1) ◽  
pp. 013009 ◽  
Author(s):  
Zhenghao Xi ◽  
Heping Liu ◽  
Huaping Liu ◽  
Yang Zheng
Keyword(s):  
Object Tracking ◽  
Shortest Path ◽  
Video Sequence ◽  
Multiple Object Tracking ◽  
Multiple Object

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.

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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