Year: 2025
Type: article
Abstract: This paper presents a Visual Behavior Analysis (VBA) framework designed to detect and interpret human activity. integrates YOLOv8 for human detection, MediaPipe Pose for posture recognition, identification. Together, these tools enable accurate differentiation between normal and suspicious behaviors. Experimental evaluation shows behavior recognition accuracy of 85–95% while maintaining 25–30 frames per second, making it suitable for real-time monitoring. The proposed approach enhances response time, supports proactive crime prevention, and provides a scalable platform for safer public environments.
Author: Dr. Girish Kumar D
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4414211421
FWCI:
Cites:
Cited by:
Related to: