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Track Multiple Objects with Feature-Correlation Algorithms

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Published:24 February 2017Publication History

ABSTRACT

We propose a method to compute objective contour feature. Conventional objective chain algorithms correlate the motion with area characteristics of the objectives to reach the goals. Nevertheless, they may not be efficient under certain circumstances of complicated tracking. In this paper, we incorporate the contour characteristic of the objective into conventional methods and thus construct a function to estimate the similarity of the objective. Experiments show that more reliable results are obtained when rigid objects are tracked.

References

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  • Published in

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    ICMLC '17: Proceedings of the 9th International Conference on Machine Learning and Computing
    February 2017
    545 pages
    ISBN:9781450348171
    DOI:10.1145/3055635

    Copyright © 2017 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 24 February 2017

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