Abnormal behavior detection of human by video surveillance system
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014.
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| Taal: | English |
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BRAC University
2015
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| Online toegang: | http://hdl.handle.net/10361/3969 |
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10361-39692022-01-26T10:18:27Z Abnormal behavior detection of human by video surveillance system Amin, Anisul Anzum, Mohammad Farhan Mondol, Mark Himel Alom, Md. Zahangir Islam, Samiul Department of Computer Science and Engineering, BRAC University Computer science and engineering Video surveillance system This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014. Cataloged from PDF version of thesis report. Includes bibliographical references (page 91). In recent years, the number of surveillance cameras installed to monitor private and public spaces and areas has increased dramatically. There is an increasing demand for smarter video surveillance of public and private space using intelligent vision systems which can distinguish what is semantically meaningful to the human observer as „normal‟ and „abnormal‟ behaviors. Usually, the video streams are constantly recorded or observed by operators. In these cases an intelligent system can give more accurate performance than a human. In this thesis we present a video surveillance system that detects and predicts abnormal behavior of human. The system acquires color images from a stationary camera and analyzes the behavior of human. Behaviors that are common or frequent will not be given much attention by the system. Anisul Amin Mohammad Farhan Anzum Mark Himel Mondol B. Computer Science and Engineering 2015-01-31T09:58:16Z 2015-01-31T09:58:16Z 2014 2014-12 Thesis ID 10301001 ID 12201101 ID 14141010 http://hdl.handle.net/10361/3969 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 91 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Computer science and engineering Video surveillance system |
| spellingShingle |
Computer science and engineering Video surveillance system Amin, Anisul Anzum, Mohammad Farhan Mondol, Mark Himel Abnormal behavior detection of human by video surveillance system |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014. |
| author2 |
Alom, Md. Zahangir |
| author_facet |
Alom, Md. Zahangir Amin, Anisul Anzum, Mohammad Farhan Mondol, Mark Himel |
| format |
Thesis |
| author |
Amin, Anisul Anzum, Mohammad Farhan Mondol, Mark Himel |
| author_sort |
Amin, Anisul |
| title |
Abnormal behavior detection of human by video surveillance system |
| title_short |
Abnormal behavior detection of human by video surveillance system |
| title_full |
Abnormal behavior detection of human by video surveillance system |
| title_fullStr |
Abnormal behavior detection of human by video surveillance system |
| title_full_unstemmed |
Abnormal behavior detection of human by video surveillance system |
| title_sort |
abnormal behavior detection of human by video surveillance system |
| publisher |
BRAC University |
| publishDate |
2015 |
| url |
http://hdl.handle.net/10361/3969 |
| work_keys_str_mv |
AT aminanisul abnormalbehaviordetectionofhumanbyvideosurveillancesystem AT anzummohammadfarhan abnormalbehaviordetectionofhumanbyvideosurveillancesystem AT mondolmarkhimel abnormalbehaviordetectionofhumanbyvideosurveillancesystem |
| _version_ |
1814308927116935168 |