Advertisement
Published in:
2014 | OriginalPaper | Chapter
Continuous Energy Minimization Based Multi-target Tracking
Authors : Zhe Shi, Songhao Zhu, Wei Sun, Baoyun Wang
Published in: Pattern Recognition
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
This paper proposes a novel method to deal with the issue of multi-target tracking by taking into account the information of continuous energy minimization and discriminative appearance models simultaneously. Specifically, the information of observation model, appearance model, exclusion model, dynamic model, trajectory persistence model and trajectory regulation model are first adopted to construct an objective function of each tracking trajectory; then, the gradient descent method is here adopted to obtain an approximate minimum of the constructed objective function at every moment, and to obtain the number of and the status of tracking targets; finally, continuous energy minimization based intelligent extrapolation method is here utilized to achieve the final continuous and smooth tracking trajectories. Experimental results on PETS 2009/2010 benchmark and TUD-Stadtmitte video database demonstrate the effectiveness and efficiency of the proposed scheme.