Performance Evaluation Based on Information Theory for Multi-Target Tracking Algorithm

Shu Rong Tian; Xiao Shu Sun; Dan Liu

doi:10.4028/www.scientific.net/AMR.694-697.2341

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697Performance Evaluation Based on Information Theory...

Performance Evaluation Based on Information Theory for Multi-Target Tracking Algorithm

Abstract:

This paper is concerned with the performance evaluation of algorithm of multi-target and target types tracking. Performance evaluation is based on information theory, Kullback-Leibler measure is used to discriminate information provided by algorithm. Through simulations, algorithm of multi-target tracking was evaluated in term of information (localization, classification, and target number components) the algorithm provide about the actual state of ground truth.

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Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

2341-2344

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.694-697.2341

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Online since:

May 2013

Authors:

Shu Rong Tian, Xiao Shu Sun, Dan Liu

Keywords:

Information Theory, Kullback-Leibler Entropy, Multi-Target Tracking, Performance Evaluation

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References

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