Detection of violent activity in surveillance system using different deep learning techniques

Detection of violent activity in surveillance system using different deep learning techniques

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliografiska uppgifter
Huvudupphovsmän:	Chakravorty, Tirthendu Prosad, Abeer, Mobashra, Baroi, Shaiane Prema, Roy, Sristy
Övriga upphovsmän:	Karim, Dewan Ziaul
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2024
Ämnen:	Violent activity Surveillance system Activity recognition Deep learning Neural network Neural networks (Computer science) Data mining
Länkar:	http://hdl.handle.net/10361/23573

Liknande verk

Violent activity detection through surveillance camera using deep learning
av: Miah, Parvez, et al.
Publicerad: (2023)

Violent crime, violent criminals /
Publicerad: (1989)

Human Activity Recognition using wearable body sensor by machine learning approach
av: Promi, Sadia Tangim, et al.
Publicerad: (2020)

Human activity recognition and authentication system
av: ALam, Md. Zubaer
Publicerad: (2024)

Efficient Spatio-temporal feature extraction for human action recognition
av: Ghosh, Dipon Kumar
Publicerad: (2022)

Smart surveillance system for identifying bikers without helmets using deep learning
av: Hossain, MD. Iqbal, et al.
Publicerad: (2020)

An android application to predict human activity using a deep learning LSTM model
av: Sikder, Debabrata
Publicerad: (2024)

Using deep learning algorithms to detect violent activities
av: Ammar, S.M. Rojin, et al.
Publicerad: (2019)

Automatic helmet-less biker detection using deep learning
av: Ratul, Md. Ibrahim, et al.
Publicerad: (2024)

Prevalence of and Factors Associated with Insufficient Physical Activity Among Adolescents: Evidence from the National Nutrition Surveillance Study
av: Hossain, Md Mokbul, et al.
Publicerad: (2022)

A viseme recognition system using lip curvature and neural networks to detect Bangla vowels
av: Akhter, Nahid
Publicerad: (2017)

Audio recognition using feed forward neural network optimized by principle component analysis
av: Momo, Nusrat Suzana, et al.
Publicerad: (2017)

Visual speech recognition using artificial neural networking
av: Sharmili, Nowshin, et al.
Publicerad: (2018)

Computational analysis and detection of Bengali communal violent speech
av: Khondoker, Abdullah, et al.
Publicerad: (2024)

Risk factors of violent death in rural Bangladesh, 1990-1999
av: Hadi, Abdullahel
Publicerad: (2019)

Visual object recognition using deep convolutional neural network
av: Ahmed, Sabbir
Publicerad: (2017)

Isolated bangla handwritten character & digit recognition using convolutional neural network
av: Alif, Mujadded Al Rabbani, et al.
Publicerad: (2018)

An efficient deep learning approach to classify white blood cells
av: Turja, Afif Ibna Kadir Khan, et al.
Publicerad: (2024)

Detection of handwritten text using convolutional neural network
av: Jasim, Rabib Bin, et al.
Publicerad: (2024)

Deep 3D convolutional neural network in early detection of Lung cancer
av: Hossain, Khandoker Jobayer, et al.
Publicerad: (2019)

Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
av: Nahar, Jannatun, et al.
Publicerad: (2022)

Inadequate dietary diversity and Its determinants among adolescent girls and boys: Evidence from the National Nutrition surveillance study in Bangladesh
av: Akter, Fahmida, et al.
Publicerad: (2022)

Bangla license plate recognition using convolutional neural networks (CNN)
av: Rahman, M M Shaifur
Publicerad: (2018)

Risk factors of violent death in rural Bangladesh, 1990-1999
av: Hadi, Abdullahel
Publicerad: (2020)

Abandoned object detection with video surveillance
av: Aurangzeb, Chowdhury Farsad, et al.
Publicerad: (2015)

A machine learning approach to detect DeepFake videos
av: Hassan, Md. Mahedi, et al.
Publicerad: (2021)

Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
av: Shuhin, Syed Adiba, et al.
Publicerad: (2019)

An approach to detect smartphone addiction through activity recognition and app usage behaviour
av: Uz Zaman, Nur, et al.
Publicerad: (2023)

Prediction of human activity using machine learning
av: Tisha, Sadia Nasrin, et al.
Publicerad: (2020)

KDANet: optical recognition for Bangla language using deep neural networks
av: Rabbi, Kazi Kamruzzaman, et al.
Publicerad: (2023)

Neural networks for pattern recognition /
av: Bishop, Christopher M.
Publicerad: (1995)

Fruit and vegetable freshness detection using deep learning
av: Haque, Md. Mahidul, et al.
Publicerad: (2023)

Elderly women are disproportionately vulnerable to hypertension in Bangladesh: Evidence from the National Nutrition Surveillance Study
av: Hanif, Abu Abdullah Mohammad, et al.
Publicerad: (2022)

Surveillance of morbidity and mortality : module 4 user's guide /
av: Claquin, Pierre
Publicerad: (1993)

Deep learning based early Glaucoma detection
av: Islam, Aabrar, et al.
Publicerad: (2024)

Classification of different magnetic structures from image data using deep neural networks
av: Ibn Hasib, Fahad, et al.
Publicerad: (2023)

Leveraging sequential deep learning models for detecting multitude of human action categories
av: Pranta, Kazi Al Refat, et al.
Publicerad: (2024)

Bangla text classification using machine learning and deep learning techniques
av: Salehin, Kamrus, et al.
Publicerad: (2021)

Abnormal behavior detection of human by video surveillance system
av: Amin, Anisul, et al.
Publicerad: (2015)

Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet
av: Al-imran, et al.
Publicerad: (2019)