Publication2015
Moving object detection in dynamic backgrounds for surveillance systems
The record
- Type
- Publication
- Date
- 23 January 2015
- Level
- National
- Journal
- Proceedings of 2014 IEEE International Conference on Advanced Communication Control and Computing Technologies Icaccct 2014
- Pages
- 1476-1479
- Published
- 23 January 2015
- DOI
- 10.1109/icaccct.2014.7019348
- Scopus ID
- 84923273795
- Authors
- 2
- Open access
- No
- Citations
- 4
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
16 Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels
Real-time object detection algorithm for surveillance systems addressing dynamic background challenges using frame difference and background subtraction methods for security applications
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-4.4 Public safety, cybersecurity and national security
Public safety technology research for surveillance system enhancement
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “Moving object detection in dynamic backgrounds for surveillance systems”. Kortex.