INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Study of Object Detection Methods and Applications on Digital Images
Authors Name:
Sunil
, Gagandeep
Unique Id:
IJSDR1905088
Published In:
Volume 4 Issue 5, May-2019
Abstract:
The recognition of the substances of the real world in the form of the moving image or digital pictures is the object detection system. The object belongs to class of objects like as vehicles or person. Object detection is widely used in industries that are required for the safety and the production of the organizations. The wide range of applications in object detection is in recovery of the images, safety approach, investigation purpose, machine system assessment, computerized vehicle structure. Object detection based on machine learning is an important application in machine learning where the strong capability of the feature learning and the feature representation that is compared to the object detection techniques. Object detection is a challenging issue in the analysis of patterns and computer systems. The relation between the video analysis and image processing in object detection has emerged in recent years. The construction of the complex structure combine the low level features with the high level context features and the evaluation is done on the basis of the classifiers. With the advancement in the machine learning, various deep level features have been developed to address the problem of the traditional architecture. In this paper, a review on machine learning approach based on object detection framework. The applications of the object detection have been summarized. The different approaches of the detection of the objects using template based, part based, region based, contour based method.
"Study of Object Detection Methods and Applications on Digital Images", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 5, page no.491 - 497, May-2019, Available :http://www.ijsdr.org/papers/IJSDR1905088.pdf
Downloads:
000337075
Publication Details:
Published Paper ID: IJSDR1905088
Registration ID:190605
Published In: Volume 4 Issue 5, May-2019
DOI (Digital Object Identifier):
Page No: 491 - 497
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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