An Auto-Annotation Approach for Object Detection and Depth-Based Distance Estimation in Security and Surveillance Systems

Existing object detection and annotation methods in surveillance systems often suffer from inefficiencies due to manual labeling and a lack of accurate distance estimation, which limits their effectiveness in large-scale environments. These limitations reduce the speed and accuracy required for real...

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Autors principals:	Misbah Bibi, Muhammad Faseeh, Anam Nawaz Khan, Atif Rizwan, Qazi Waqas Khan, Rashid Ahmad, Do-Hyeun Kim
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Access
Matèries:	Object detection framework automatic object detection synthetic dataset distance estimation security and surveillance semi auto annotation
Accés en línia:	https://ieeexplore.ieee.org/document/10876157/
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