The week's pick
Reseach Article
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.
References
- Jinghua Wang and Guoyan Zhang, "Video Data Mining based on K-means Algorithm for Surveillance Video", 2011 IEEE
- Jagannadan Varadarajan, Jean-Marc Odobez, R´emi Emonet "Multi-camera Open Space Human Activity Discovery for Anomaly Detection", 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011.
- Jae Young Lee, William Hoff," Activity Identification Utilizing Data Techniques", IEEE Workshop on Motion and Video Computing (WMVC'07).
- Duarte Duque, Henrique Santos and Paulo Cortez," Prediction of Abnormal Behaviors for Intelligent Video Surveillance Systems", Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2007).
- Hua Zhong, Jianbo Shi, Mirk´o Visontai, "Detecting Unusual Activity in Video", Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04).
- JungHwan Oh, Praveen Sankuratri,"Automatic distinction of camera and object motions In video sequences", C0 2002 IEEE
- Ismail Haritaoglu, David Harwood, Larry S. Davis,, "Real-Time Surveillance of People and Their Activities", IEEE transactions on pattern analysis and machine intelligence, vol. 22, no. 8, august 2000.
- Oh. J. Bandi B,"Multimedia data mining framwork for raw video sequence ",Third international workshop on multimedia data mining (MDM/KDD2002),Edmonton,Albert, Canada(2002).
- Chen, S. Shyu. M. Zhang C. ,"Multimedia data mining framwork for raw video sequence ",Third international workshop on multimedia data mining (MDM/KDD2002),San Francisco,CA(2001).
- Ngo. C Pong T. Zhang H," On Clustering and Retrieval of Video Shots",In:Proc of ACM Multimedia 2001,Ottawa,Canada(2001),51-60.
- Jun Wu; Zhitao Xiao, "Video Survillence object recognition based on shape and color features",Image and Signal Processing (CISP), 2010 3rd International conference, Publication Year: 2010, Page(s): 451 – 454.
- Zhen Lei; Chao Wang; Qinghai Wang; Yanyan Huang "Real-Time Face Detection and Recognition for VideoSurveillance Applications",Computer Science and Information Engineering, 2009 WRI World Congress on, Publication Year: 2009 , Page(s): 168 – 172.
- Yanmin Luo; Minghong Liao; Zhipeng Zhan "A similarity analysis and clustering algorithm forvideo based on moving trajectory time series wavelet transform of moving object in Video" , Image Analysis and Signal Processing (IASP), 2010 International Conference, Publication Year: 2010 , Page(s): 625 – 629.
- Kexue Dai; Guohui Li; Defeng Wu,"Motion clustering for similar video segments mining", Multi-Media Modelling Conference Proceedings, 2006 12th International , Publication Year: 2006.
- Chakraborty, Ishita; Paul, Tanoy Kr. ,"A Hybrid Clustering Algorithm for Fire Detection inVideo and Analysis with Color Based Thresholding Method", Publication Year: 2010 , Page(s): 277 – 280.
- Chun-Man Mak; Wai-Kuen Cham," Fast video object segmentation using Markov random field" Multimedia Signal Processing, 2008 IEEE 10th Workshop on, Publication Year: 2008, Page(s): 343 – 348.
- Singh, S. ; Haiying Tu; Donat, W. ; Pattipati, K. ; Willett, P. ,"Anomaly Detection via Feature-Aided Tracking and Hidden Markov Models", Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on , Publication Year: 2009 , Page(s): 144 – 159.
- Jungong Han; Minwei Feng; de With, P. H. N. ," A real-time video surveillance system with human occlusion handling using nonlinear regression", Multimedia and Expo, 2008 IEEE International Conference on, Publication Year: 2008 , Page(s): 305 – 308.
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