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Pruning phantom detections from multiview foreground intersection

    • Xi'an Jiaotong-Liverpool University
    • University of Liverpool

    Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

    4 Citations (Scopus)

    Abstract

    Homography mapping and fusion of foreground regions from multiple camera views is an effective technique for moving object detection. However, the intersections of non-corresponding foreground regions frequently cause phantom detections. In this paper, an algorithm using colour template matching is proposed to identify such phantoms from the multiview foreground intersection. Experiments on real-world video sequences have been carried out.

    Original languageEnglish
    Title of host publication2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
    Pages1025-1028
    Number of pages4
    DOIs
    Publication statusPublished - 30 Sept 2012
    Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
    Duration: 30 Sept 20123 Oct 2012

    Publication series

    NameProceedings - International Conference on Image Processing, ICIP
    ISSN (Print)1522-4880

    Conference

    Conference2012 19th IEEE International Conference on Image Processing, ICIP 2012
    Country/TerritoryUnited States
    CityLake Buena Vista, FL
    Period30/09/123/10/12

    Keywords

    • image homography
    • motion detection
    • video surveillance

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