Abstract

The primary goal of this paper propose an algorithm for automatic detection of abnormal events in video surveillance scenarios. We specifically focus our attention on the event of object dropping in public places such as railway stations and airports etc. We look into how to distinguish events in surveillance video, and further what is a remarkable event. Analyzing surveillance data, without the knowledge of when and where or even if an interesting event has occurred which often takes place, is very time consuming labour. In this kind of analysis we are interested in extraordinary events, something that deviates from the normal.

References

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