| Type of Material: | Thesis |
| Title: | Modelling Crowd Patterns and Detection of Abnormal Behaviours from High Density Videos using Computer Vision Techniques |
| Researcher: | Muhammed Anees, V |
| Guide: | Santhosh Kumar, G |
| Department: | Department of Computer Science |
| Publisher: | Cochin University of Science & Technology, Cochin |
| Place: | Cochin |
| Year: | 2022 |
| Language: | English |
| Subject: | Computer Science | Crowd Analysis | Crowd Behavior Modelling | Crowd Flow Modelling | Engineering and Technology | Intelligent Surveillance System(ISS) | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Computer Science, Cochin University of Science & Technology, Cochin, Cochin; 2022 |
| Fulltext: | Shodhganga |
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| 001 | 456421 | |
| 003 | IN-AhILN | |
| 005 | 2024-10-10 10:54:15 | |
| 008 | __ | 241010t2022||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_456421 |
| 040 | __ | |aCUST_682022|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aMuhammed Anees, V|eResearcher |
| 110 | __ | |aDepartment of Computer Science|bCochin University of Science & Technology, Cochin|dCochin|ein|0U-0253 |
| 245 | __ | |aModelling Crowd Patterns and Detection of Abnormal Behaviours from High Density Videos using Computer Vision Techniques |
| 260 | __ | |aCochin|bCochin University of Science & Technology, Cochin|c2022 |
| 300 | __ | |a168|dDVD |
| 502 | __ | |cDepartment of Computer Science, Cochin University of Science & Technology, Cochin, Cochin|d2022|bPhD |
| 518 | __ | |d2023|oDate of Award |
| 518 | __ | |oDate of Registration|d2017 |
| 520 | __ | |aSurveillance systems have become increasingly popular due to the increased world population and social welfare. Now almost all buildings and public spaces are equipped with surveillance cameras. Every organization is reducing manual surveillance with the full involvement of human operators due to higher labour costs, limited ability to monitor multiple screens without fail, and their inconsistency for a long duration. Here comes the role of intelligent surveillance systems (ISSs), which can completely replace traditional surveillance systems or reduce human involvement.One of the most difficult aspects of developing intelligent surveillance systems (ISSs) is the ability to comprehend human behavior through surveillance video analysis. ISSs use computer vision, pattern recognition, image processing, and machine learning technologies to identify abnormalities in the video. Nowadays, the research community mainly focuses on the computer vision and machine learning part of these systems, researching and develop |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aCrowd Analysis |
| 653 | __ | |aCrowd Behavior Modelling |
| 653 | __ | |aCrowd Flow Modelling |
| 653 | __ | |aEngineering and Technology |
| 653 | __ | |aIntelligent Surveillance System(ISS) |
| 700 | __ | |eGuide|aSanthosh Kumar, G |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/506541|yShodhganga |
| 905 | __ | |afromsg |
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