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)
Computer vision finds an important application in traffic surveillance, management and monitoring. The aim of this paper is to review implementation of Haar Cascade classifiers in detecting cars and pedestrians from either a video input or a live stream input from surveillance cameras. The video stream is broken into frames. Each frame is taken up as an image to detect cars and pedestrians. This is done by using sliding window approach. Depending on where the window is currently positioned, each stage of the classifier marks a specific area as positive or negative. We use Computer Vision Library (OpenCV). The frames with the object detected, put together gives an efficient tracking of the same. This study also evaluates Haar Cascade method with respect to other object detection algorithms. The paper concludes with a discussion on the future scope of this work.
Keywords:
Object detection, OpenCV, Haar Cascade, Car and Pedestrians, Tracking, Python
Cite Article:
"Cars and Pedestrians Detection and Tracking: Using Haar Cascade Classifiers", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 3, page no.a495-a499, March-2023, Available :http://www.ijnrd.org/papers/IJNRD2303053.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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