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Surveillance of Real Time Video Streams by using Hill Climbing Algorithm
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 65 - Number 22 |
| Year of Publication: 2013 |
| Authors: Avinash P. Ingle, Snehlata Dongre |
10.5120/11217-6418
|
Avinash P. Ingle, Snehlata Dongre . Surveillance of Real Time Video Streams by using Hill Climbing Algorithm. International Journal of Computer Applications. 65, 22 ( March 2013), 25-27. DOI=10.5120/11217-6418
Abstract
Data mining is the application of statistical techniques and programmatic algorithms to discover previously unnoticed relationships within the data. With the development of software and hardware, video surveillance systems have been not only widely used in the security realm, but also in daily life in hotels, supermarkets, banks, schools and so on. These applications are used for real-time monitoring or checking later. Now video surveillance systems have lower intelligence and required people to operate them. So, it is urgent to extract video content features, and semantic information and there is a need for some kinds of models due to the increasing demands of intelligence. According to the applications of data mining, it is able find out implicit, useful and knowledge from a large number of video data. Then they can help us understand video solutions automatically, improve intelligence of surveillance applications and make decisions.
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