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Cite this DOI

10.46243/jst.2021.v6.i04.pp63-66 · Moving Object Detection and Tracking Using Matlab

APA (7th edition)

U. P. Nagane, & Dr. A. O. Mulani (2021). Moving Object Detection and Tracking Using Matlab. *Journal of Science & Technology*, *06*(01), 63–66. https://doi.org/10.46243/jst.2021.v6.i04.pp63-66

⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.

BibTeX

@article{upnagane2021moving,
  author    = {U. P. Nagane and Dr. A. O. Mulani},
  title     = {{Moving Object Detection and Tracking Using Matlab}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  month     = {aug},
  volume    = {06},
  number    = {01},
  pages     = {63--66},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i04.pp63-66},
  url       = {https://doi.org/10.46243/jst.2021.v6.i04.pp63-66},
  language  = {en},
  abstract  = {Object tracking is the process of locating moving objects in the consecutive video frames. Real time object tracking is a challenging problem in the field of computer vision, motion-based recognition, automated surveillance, traffic monitoring, augmented reality and object based video compression etc. Performance at higher level is greatly depends on accurate performance of object detection. Various platforms are being used for designing and implementation of object detection algorithm. It includes C programming, MATLAB and Simulink, open cv etc. Among these, MATLAB programming is most popular due to its extensive features. These features include data processing using matrix, set of toolboxes and Simulink blocks covering all technology fields, easy programming. This project presents the implementation of object detection and tracking using MATLAB.}
}

⬇ .bib

RIS (EndNote, Zotero, Mendeley)

TY  - JOUR
TI  - Moving Object Detection and Tracking Using Matlab
AU  - U. P. Nagane
AU  - Dr. A. O. Mulani
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021/08/16/
VL  - 06
IS  - 01
SP  - 63
EP  - 66
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Object tracking is the process of locating moving objects in the consecutive video frames. Real time object tracking is a challenging problem in the field of computer vision, motion-based recognition, automated surveillance, traffic monitoring, augmented reality and object based video compression etc. Performance at higher level is greatly depends on accurate performance of object detection. Various platforms are being used for designing and implementation of object detection algorithm. It includes C programming, MATLAB and Simulink, open cv etc. Among these, MATLAB programming is most popular due to its extensive features. These features include data processing using matrix, set of toolboxes and Simulink blocks covering all technology fields, easy programming. This project presents the implementation of object detection and tracking using MATLAB.
DO  - 10.46243/jst.2021.v6.i04.pp63-66
UR  - https://doi.org/10.46243/jst.2021.v6.i04.pp63-66
ER  -

⬇ .ris

CSL-JSON

{
    "type": "article-journal",
    "id": "10.46243/jst.2021.v6.i04.pp63-66",
    "DOI": "10.46243/jst.2021.v6.i04.pp63-66",
    "URL": "https://doi.org/10.46243/jst.2021.v6.i04.pp63-66",
    "title": "Moving Object Detection and Tracking Using Matlab",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "U. P. Nagane"
        },
        {
            "family": "Dr. A. O. Mulani"
        }
    ],
    "issued": {
        "date-parts": [
            [
                2021,
                8,
                16
            ]
        ]
    },
    "volume": "06",
    "issue": "01",
    "page": "63-66",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "Object tracking is the process of locating moving objects in the consecutive video frames. Real time object tracking is a challenging problem in the field of computer vision, motion-based recognition, automated surveillance, traffic monitoring, augmented reality and object based video compression etc. Performance at higher level is greatly depends on accurate performance of object detection. Various platforms are being used for designing and implementation of object detection algorithm. It includes C programming, MATLAB and Simulink, open cv etc. Among these, MATLAB programming is most popular due to its extensive features. These features include data processing using matrix, set of toolboxes and Simulink blocks covering all technology fields, easy programming. This project presents the implementation of object detection and tracking using MATLAB.",
    "ISSN": "2456-5660"
}

⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.

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