Smart Object Recognition in Wireless Surveillance

Multiple cameras feed their image analysis into this advanced security system which unites alarm activation with surveillance functionality and automated real-time security verification. The system functionally reacts to pre-setup scenarios including situations of break-ins and crimes as well as human supervision needs. The algorithm framework for visual content analysis (VCA) supports this concept. Our algorithms require changes with specific modifications to achieve requirements targets. A video processing framework detects foreground elements from background and performs localization while extracting objects and tracking them. Multiple cameras provide the foundation for the recognition process which relies on limited image sets and vector compositions. This system offers effective superiority over traditional surveillance methods while maintaining enhanced performance.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-12
DOI
https://doi.org/10.5281/zenodo.14849747
Primary Topic
Video Surveillance and Tracking Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Object Recognition in Wireless Surveillance

Zenodo (CERN European Organization for Nuclear Research)
Video Surveillance and Tracking Methods
article

Smart Object Recognition in Wireless Surveillance

article en

Abstract

Multiple cameras feed their image analysis into this advanced security system which unites alarm activation with surveillance functionality and automated real-time security verification. The system functionally reacts to pre-setup scenarios including situations of break-ins and crimes as well as human supervision needs. The algorithm framework for visual content analysis (VCA) supports this concept. Our algorithms require changes with specific modifications to achieve requirements targets. A video processing framework detects foreground elements from background and performs localization while extracting objects and tracking them. Multiple cameras provide the foundation for the recognition process which relies on limited image sets and vector compositions. This system offers effective superiority over traditional surveillance methods while maintaining enhanced performance.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 52%
Video Surveillance and Tracking Methods
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