Smart Object Recognition in Wireless Surveillance
Year: 2025
Type: article
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.
Authors: Santhosh K, Gary D, Chris C, Samyek N
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W6893173366
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