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Surveillance Video Summarization System based on Multi-person Tracking Status
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 Title & Authors
Surveillance Video Summarization System based on Multi-person Tracking Status
Yoo, Ju Hee; Lee, Kyoung Mi;
 
 Abstract
Surveillance cameras have been installed in many places because security and safety has become an important issue in modern society. However, watching surveillance videos and judging accidental situations is very labor-intensive and time-consuming. So now, requests for research to automatically analyze the surveillance videos is growing. In this paper, we propose a surveillance system to track multiple persons in videos and to summarize the videos based on tracking information. The proposed surveillance summarization system applies an adaptive illumination correction, subtracts the background, detects multiple persons, tracks the persons, and saves their tracking information in a database. The tracking information includes tracking one's path, their movement status, length of staying time at the location, enterance/exit times, and so on. The movement status is classified into six statuses(Enter, Stay, Slow, Normal, Fast, and Exit). This proposed summarization system provides a person's status as a graph in time and space and helps to quickly determine the status of the tracked person.
 Keywords
person tracking;surveillance video;video summarization system;background subtraction;
 Language
Korean
 Cited by
 References
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