INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In this research paper we have described the method for detecting and tracking multiple objects in various scenarios. None of existing models have used the power of deep CNN, with the speedy development in deep learning, various powerful tools are introduced which are able to address the problems in existing models, we have focused on object detection and tracking along with some variations to improve the detection performance. Many previous models were trained on normal mpeg videos which were less efficient but our model will track the objects using DCT compressed videos which will increase the overall efficiency of the model. Moving objects gets detected using TensorFlow object detection API and a CNN based object tracking algorithm is used for tracking the motion of an object in different scenarios. For the validation live input or the path of input will be taken where objects will get detected.
Keywords:
CNN, TensorFlow, DCT, Deep learning.
Cite Article:
"Object Detection and Tracking in Compressed Domain (2022)", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 5, page no.750-754, May-2022, Available :http://www.ijnrd.org/papers/IJNRD2205082.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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