Abandoned/removed object detection in video surveillance systems

Muhammed Kalabalik; Fikret Alim; Cevahir Cigla

doi:10.1117/12.3031482

1 November 2024 Abandoned/removed object detection in video surveillance systems

Muhammed Kalabalik, Fikret Alim, Cevahir Cigla

Author Affiliations +

Proceedings Volume 13200, Electro-Optical and Infrared Systems: Technology and Applications XXI; 132001E (2024) https://doi.org/10.1117/12.3031482
Event: Security + Defence, 2024, Edinburgh, United Kingdom

Abstract

Abandoned/removed object detection is a critical task in video surveillance systems for ensuring public safety and security. In these type of systems, mostly static cameras are utilized to monitorize and observe the surrounding, hence background modeling based techniques are suitable for detection of objects that produce obvious changes in the image content. GMM(Gaussian Mixture Model) is one of the most endeavoured modeling technique for real-time surveillance applications. In this paper, we propose an edge-based approach for the detection of abandoned or removed objects under static background assumption. Traditional edge-based approaches rely on the amount of edge energy that suffers in cluttered areas. In order to solve this problem, we extend edge energy by use of edge orientation between current and background frame along foreground object's edge contours. This approach increases the robustness of abandoned/removed classification which is supported by detailed experiments.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Muhammed Kalabalik, Fikret Alim, and Cevahir Cigla "Abandoned/removed object detection in video surveillance systems", Proc. SPIE 13200, Electro-Optical and Infrared Systems: Technology and Applications XXI, 132001E (1 November 2024); https://doi.org/10.1117/12.3031482

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