Detektion von Anomaler Aktivität für Mobile Überwachungsroboter

Details

Veröffentlichungs-Nr.

EP4375954

Aktenzeichen

EP23199126

Anmeldetag

22. September 2023

Veröffentlichung

11. Februar 2026

Erteilung

11. Februar 2026

Rechtsraum

EP

IPC

G06V20/52

Abstract

Technical challenge in unusual human activity detection task is to rightly identify only unexpected or unusual movements from constant regular movements present in a scene, with most techniques built on understanding that camera is static. However, ego view camera of mobile surveillance robot is in motion as robot navigates. Embodiments herein provide a method and system for anomalous activity detection for mobile surveillance robots by mimicking 'Konio-Parvocellular-Magno' cells of the human brain into a NN model, which are responsible for detecting slow, normal, and swift changes in perceived scenes. To detect anomalous activity, the static or normal movements of scene captured by ego view camera are identified as redundant information and only RoI is forwarded for further processing using the Optical flow and SSIM techniques. The NN model mimicking KPM is trained only on the RoI to detect normal or anomalous activity.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete