Real-time vandalism detection by monitoring object activities
| Autor: | Mohammed Ghazal, Aishy Amer, Carlos Vázquez |
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| Rok vydání: | 2011 |
| Předmět: |
Computer Networks and Communications
Computer science Event (computing) business.industry Video processing Object (computer science) Frame rate GeneralLiterature_MISCELLANEOUS Hardware and Architecture Media Technology Segmentation Computer vision Artificial intelligence business Software Sign (mathematics) |
| Zdroj: | Multimedia Tools and Applications. 58:585-611 |
| ISSN: | 1573-7721 1380-7501 |
| DOI: | 10.1007/s11042-011-0751-z |
| Popis: | This paper proposes a novel method for the detection of vandalism events in video sequences. The method is based on a proposed definition for common vandal behaviors recorded on surveillance video sequences. To do this, the method monitors changes inside a restricted site containing vandalism-prone objects such as a vending machine, a pay phone, or a street sign. When an object is detected as leaving such a site, the proposed method checks if the site contains temporally consistent and significant static changes, representing damage. If there are such changes and given that the site is normally unchanged after legal use, a vandalism event is declared and the vandals are tracked. The proposed method is tested on video sequences showing real and simulated vandal behaviors and it achieves a detection rate of 96%. It detects different forms of vandalism such as graffiti and theft, and can handle sudden illumination changes, occlusions, and segmentation errors. The proposed method operates at a frame rate of 13 frames per second. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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