Arun Hampapur, Yingli Tian, Lisa Brown, Jonathan Connell, Norman Haas, Max Lu, Hans Merkl, Sharat Pankanti, Andrew Senior, Chiao-Fe Shu
2004 Proceedings of the 2004 ACM SIGMM workshop on Effective telepresence - ETP '04  
The increasing need for sophisticated surveillance systems and the move to digital surveillance infrastructure has transformed surveillance into a large scale data analysis and management challenge. Smart surveillance systems use automatic image understanding techniques to extract information from the surveillance data. While the majority of the research and commercial systems have focused on the information extraction aspect of the challenge, very few systems have explored the use of extracted
more » ... information in the search, retrieval, data management and investigation context. The IBM smart surveillance system is one of the few advanced surveillance systems which provides not only the capability to automatically monitor a scene but also the capability to manage the surveillance data, perform event based retrieval, receive real time event alerts thru standard web infrastructure and extract long term statistical patterns of activity.
doi:10.1145/1026776.1026794 fatcat:hba2r5qmfjgjhfw7akqqxbiqty