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    Details
    Author(s)
    Display Name
    Feiqiang Li
    Affiliation
    Affiliation
    Fudan University
    Display Name
    Yujie Huang
    Affiliation
    Affiliation
    Fudan University
    Display Name
    Yaoyi Chen
    Affiliation
    Affiliation
    Fudan University
    Display Name
    Xiaoyang Zeng
    Affiliation
    Affiliation
    Fudan University
    Display Name
    Wenhong Li
    Affiliation
    Affiliation
    Fudan University
    Display Name
    Mingyu Wang
    Affiliation
    Affiliation
    Sun Yat-sen University
    Abstract

    DVS is sensitive to background active noise. The ordinary O(N2)-Space spatiotemporal filter’s memory complexity is high. Some works reduce memory complexity by sacrificing the performance of the filter. To ensure the filtering effect and reduce the filter’s memory complexity, this paper proposes a novel filter: Queue-based spatiotemporal filter. Moreover, this paper proposes a clustering algorithm. Experiments show that the proposed filter’s performance is similar to the O(N2)-Space spatiotemporal filter while having a lower memory complexity. Besides, using the proposed clustering algorithm, the objects in motion can be clustered with low calculation complexity.