Shadow removal using B-spline for edges reconstruction in surveillance

Redwan A K Noaman, Mohd A Mohd Ali, Kasmiran Jumari

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    Shadows are one of the major problems in objects detection and tracking for automated video surveillance systems. In such systems accurate detection is required even under variable weather conditions. The majority of shadow removal algorithms in the literature suffer from misclassification errors because of inaccurate shadow detection, thus resulting in distorted object shapes. In this paper, a novel technique is proposed for shadow detection and removal using both edge detecting and B-spline algorithm. This technique is capable of correcting such errors by using B-spline algorithm for object's edges reconstruction so that the object shapes remain well defined along most part of their contours. Experimental results in PETS2006 benchmark dataset show that the proposed technique increases the shadow detection reliability compared to some existing shadow detection algorithms.

    Original languageEnglish
    Title of host publicationProcedia Engineering
    PublisherElsevier Ltd
    Pages833-837
    Number of pages5
    Volume41
    DOIs
    Publication statusPublished - 2012
    Event2nd International Symposium on Robotics and Intelligent Sensors 2012, IRIS 2012 - Kuching, Sarawak, Malaysia
    Duration: 4 Sep 20126 Sep 2012

    Other

    Other2nd International Symposium on Robotics and Intelligent Sensors 2012, IRIS 2012
    CountryMalaysia
    CityKuching, Sarawak
    Period4/9/126/9/12

    Fingerprint

    Splines

    Keywords

    • Shadows
    • Tracking
    • Video surviliance

    ASJC Scopus subject areas

    • Engineering(all)

    Cite this

    Noaman, R. A. K., Ali, M. A. M., & Jumari, K. (2012). Shadow removal using B-spline for edges reconstruction in surveillance. In Procedia Engineering (Vol. 41, pp. 833-837). Elsevier Ltd. https://doi.org/10.1016/j.proeng.2012.07.251

    Shadow removal using B-spline for edges reconstruction in surveillance. / Noaman, Redwan A K; Ali, Mohd A Mohd; Jumari, Kasmiran.

    Procedia Engineering. Vol. 41 Elsevier Ltd, 2012. p. 833-837.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Noaman, RAK, Ali, MAM & Jumari, K 2012, Shadow removal using B-spline for edges reconstruction in surveillance. in Procedia Engineering. vol. 41, Elsevier Ltd, pp. 833-837, 2nd International Symposium on Robotics and Intelligent Sensors 2012, IRIS 2012, Kuching, Sarawak, Malaysia, 4/9/12. https://doi.org/10.1016/j.proeng.2012.07.251
    Noaman RAK, Ali MAM, Jumari K. Shadow removal using B-spline for edges reconstruction in surveillance. In Procedia Engineering. Vol. 41. Elsevier Ltd. 2012. p. 833-837 https://doi.org/10.1016/j.proeng.2012.07.251
    Noaman, Redwan A K ; Ali, Mohd A Mohd ; Jumari, Kasmiran. / Shadow removal using B-spline for edges reconstruction in surveillance. Procedia Engineering. Vol. 41 Elsevier Ltd, 2012. pp. 833-837
    @inproceedings{7b11fb0792c6458b99fb257049388c9d,
    title = "Shadow removal using B-spline for edges reconstruction in surveillance",
    abstract = "Shadows are one of the major problems in objects detection and tracking for automated video surveillance systems. In such systems accurate detection is required even under variable weather conditions. The majority of shadow removal algorithms in the literature suffer from misclassification errors because of inaccurate shadow detection, thus resulting in distorted object shapes. In this paper, a novel technique is proposed for shadow detection and removal using both edge detecting and B-spline algorithm. This technique is capable of correcting such errors by using B-spline algorithm for object's edges reconstruction so that the object shapes remain well defined along most part of their contours. Experimental results in PETS2006 benchmark dataset show that the proposed technique increases the shadow detection reliability compared to some existing shadow detection algorithms.",
    keywords = "Shadows, Tracking, Video surviliance",
    author = "Noaman, {Redwan A K} and Ali, {Mohd A Mohd} and Kasmiran Jumari",
    year = "2012",
    doi = "10.1016/j.proeng.2012.07.251",
    language = "English",
    volume = "41",
    pages = "833--837",
    booktitle = "Procedia Engineering",
    publisher = "Elsevier Ltd",

    }

    TY - GEN

    T1 - Shadow removal using B-spline for edges reconstruction in surveillance

    AU - Noaman, Redwan A K

    AU - Ali, Mohd A Mohd

    AU - Jumari, Kasmiran

    PY - 2012

    Y1 - 2012

    N2 - Shadows are one of the major problems in objects detection and tracking for automated video surveillance systems. In such systems accurate detection is required even under variable weather conditions. The majority of shadow removal algorithms in the literature suffer from misclassification errors because of inaccurate shadow detection, thus resulting in distorted object shapes. In this paper, a novel technique is proposed for shadow detection and removal using both edge detecting and B-spline algorithm. This technique is capable of correcting such errors by using B-spline algorithm for object's edges reconstruction so that the object shapes remain well defined along most part of their contours. Experimental results in PETS2006 benchmark dataset show that the proposed technique increases the shadow detection reliability compared to some existing shadow detection algorithms.

    AB - Shadows are one of the major problems in objects detection and tracking for automated video surveillance systems. In such systems accurate detection is required even under variable weather conditions. The majority of shadow removal algorithms in the literature suffer from misclassification errors because of inaccurate shadow detection, thus resulting in distorted object shapes. In this paper, a novel technique is proposed for shadow detection and removal using both edge detecting and B-spline algorithm. This technique is capable of correcting such errors by using B-spline algorithm for object's edges reconstruction so that the object shapes remain well defined along most part of their contours. Experimental results in PETS2006 benchmark dataset show that the proposed technique increases the shadow detection reliability compared to some existing shadow detection algorithms.

    KW - Shadows

    KW - Tracking

    KW - Video surviliance

    UR - http://www.scopus.com/inward/record.url?scp=84901064329&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84901064329&partnerID=8YFLogxK

    U2 - 10.1016/j.proeng.2012.07.251

    DO - 10.1016/j.proeng.2012.07.251

    M3 - Conference contribution

    VL - 41

    SP - 833

    EP - 837

    BT - Procedia Engineering

    PB - Elsevier Ltd

    ER -