Execution of coordinate based classifier system to predict specific criminal behavior using regional multi person pose estimator
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
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| Idioma: | English |
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Brac University
2022
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| Acesso em linha: | http://hdl.handle.net/10361/15936 |
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10361-159362022-01-26T10:19:55Z Execution of coordinate based classifier system to predict specific criminal behavior using regional multi person pose estimator Zaman, Md. Farhan Tousif, Md. Iftekhar Alam Monami, Maliha Hossain, Hazrat Sauda Hossain, Sanjida Rhaman, Md. Khalilur Department of Computer Science and Engineering, Brac University CBHAC Convex Hull Graham’s scan Alpha pose Ray casting Crime detection Human posture Pose classification Convex programming Machine learning. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 36-37). There are numerous numbers of issues in society, one of which is crime. While crime refers to a wide range of deliberate, unlawful behaviors, the most archetypal ones involve murder, threatening and violent activities. Its expenditures and consequences affect almost everything but to a certain extent. If we want to prevent crime, we must first identify criminal activity. It is hard to locate unlawful behavior without a lot of effort. With crime surging at an alarming rate, several methods have been developed in the past to predict and prevent criminal activities. However, the methods available currently are not efficient enough to predict the extensive variety of criminal activities that occurs in modern days. To do so, we need to make greater use of technological advancements in order to forecast crime. This paper presents an approach that will be able to detect and predict crime by combining machine learning with a coordinate-based approach. The proposed apparatus integrates existing video footage to detect and analyze human behavior. The system distinguishes between human stances present in the scene in order to detect criminal behavior and subsequently predict crime. Using video processing, the methodology compares human stances with a trained dataset and detects those body positions that may indicate criminal activity. Md. Farhan Zaman Md. Iftekhar Alam Tousif Maliha Monami Hazrat Sauda Hossain Sanjida Hossain B. Computer Science 2022-01-17T05:03:15Z 2022-01-17T05:03:15Z 2021 2021-09 Thesis ID 17101137 ID 17101337 ID 17101020 ID 17101222 ID 17101356 http://hdl.handle.net/10361/15936 en Brac University theses 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. 37 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
CBHAC Convex Hull Graham’s scan Alpha pose Ray casting Crime detection Human posture Pose classification Convex programming Machine learning. |
| spellingShingle |
CBHAC Convex Hull Graham’s scan Alpha pose Ray casting Crime detection Human posture Pose classification Convex programming Machine learning. Zaman, Md. Farhan Tousif, Md. Iftekhar Alam Monami, Maliha Hossain, Hazrat Sauda Hossain, Sanjida Execution of coordinate based classifier system to predict specific criminal behavior using regional multi person pose estimator |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. |
| author2 |
Rhaman, Md. Khalilur |
| author_facet |
Rhaman, Md. Khalilur Zaman, Md. Farhan Tousif, Md. Iftekhar Alam Monami, Maliha Hossain, Hazrat Sauda Hossain, Sanjida |
| format |
Thesis |
| author |
Zaman, Md. Farhan Tousif, Md. Iftekhar Alam Monami, Maliha Hossain, Hazrat Sauda Hossain, Sanjida |
| author_sort |
Zaman, Md. Farhan |
| title |
Execution of coordinate based classifier system to predict specific criminal behavior using regional multi person pose estimator |
| title_short |
Execution of coordinate based classifier system to predict specific criminal behavior using regional multi person pose estimator |
| title_full |
Execution of coordinate based classifier system to predict specific criminal behavior using regional multi person pose estimator |
| title_fullStr |
Execution of coordinate based classifier system to predict specific criminal behavior using regional multi person pose estimator |
| title_full_unstemmed |
Execution of coordinate based classifier system to predict specific criminal behavior using regional multi person pose estimator |
| title_sort |
execution of coordinate based classifier system to predict specific criminal behavior using regional multi person pose estimator |
| publisher |
Brac University |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/15936 |
| work_keys_str_mv |
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| _version_ |
1814308969784541184 |