Abandoned Objects Detection in Intelligent Video Surveillance

doi:10.3969/j.issn.1006-2475.2014.12.012

Abstract

Abstract: A detection technology in intelligent video surveillance was researched. A method of automatically detecting abandoned objects and alerting in video surveillance environment was given, and also the detection algorithm was analysed in detail. By dynamic threshold background subtraction algorithms and background updating algorithm, the adaptability of the system in complex scenes was improved. This method can accurately detect the abandoned objects in the complex background, such as box, bag and so on, and provide key frames. The effectiveness of this method was confirmed by experimental results.

Key words: abandoned object detection, dynamic threshold, background subtraction method, adaptive, method of maximum classes square error

CLC Number:

TP391

ZHANG Ju-qin, WANG Hai-yang, HU Zhen. Abandoned Objects Detection in Intelligent Video Surveillance[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2014.12.012.

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