Eve-teasing detection from video footage using computer vision and artificial intelligence

Eve-teasing detection from video footage using computer vision and artificial intelligence

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

Bibliografiske detaljer
Main Authors:	Rapheo, Abdullah, Billah, A.T.M. Masum, Islam, Lamisha, MD Yahia Mahim, Abu Shale
Andre forfattere:	Rabiul Alam, Md. Golam
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	Machine learning Eve teasing Detection CNN XGBoost VGG16 Gender classification Posture detection Sexual harassment of women > South Asia.
Online adgang:	http://hdl.handle.net/10361/19387

Lignende værker

Violence, sexual harassment and law
af: Khan, Saira Rahman
Udgivet: (2016)

Study: Sexual harassment common among young women workers in Bangladesh
af: Dhaka Tribune
Udgivet: (2022)

Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
af: Farhan, Rafid, et al.
Udgivet: (2024)

Real time action recognition from video footage
af: Apon, Tasnim Sakib, et al.
Udgivet: (2021)

Execution of coordinate based classifier system to predict specific criminal behavior using regional multi person pose estimator
af: Zaman, Md. Farhan, et al.
Udgivet: (2022)

Harmful practices prevail despite legal knowledge: A mixed-method study on the paradox of child marriage in Bangladesh
af: Akter, Sayema, et al.
Udgivet: (2022)

A hybrid approach to determine patients critical situation using expression & posture with convolutional neural network & Blazepose algorithm
af: Islam, Abrar, et al.
Udgivet: (2024)

Rights of female garments workers in Bangladesh: a case of Chittagong
af: Chowdhury, Suman
Udgivet: (2018)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
af: Radiah, Faiza, et al.
Udgivet: (2024)

Inflamed appendix detection from laparoscopic video footage using edge detection and morphological image processing
af: Tashfeen, Siddiq Husain, et al.
Udgivet: (2017)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
af: Tasnim, Sadia, et al.
Udgivet: (2023)

Optical flow based violence detection from video footage using hybrid MobileNet and Bi-LSTM
af: Haque, Tashfia, et al.
Udgivet: (2024)

Comprehensive Campus Safeguarding Framework of Brac Universtiy
af: Brac Univeristiy
Udgivet: (2022)

An efficient approach for recyclable waste detection and classification using image processing techniques
af: Chowdhury, Prabal Kumar, et al.
Udgivet: (2024)

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
af: Rahman, Rafeed, et al.
Udgivet: (2021)

Smoke detection using deep Convolutional neural network
af: Niloy, Wahidul Hasan, et al.
Udgivet: (2021)

Detection of Parkinson’s disease from Neuro-imagery using deep neural network with transfer learning
af: Asaduzzaman, et al.
Udgivet: (2021)

Bangla hate speech detection on social media using attention-based recurrent neural network
af: Das, Amit Kumar, et al.
Udgivet: (2022)

Deep Learning based Bangla Voice to Braille Character Conversion System
af: Iqbal, Syed Bayes, et al.
Udgivet: (2022)

Segmentation based Kidney Tumor Classification using Deep Neural Network
af: Mehedi, Md Humaion Kabir, et al.
Udgivet: (2022)

Prevalence and correlates of the risk of Sexual violence within marriage in Bangladesh
af: Hadi, Abdullahel
Udgivet: (2019)

Embedded real time blink detection system with heart rate sensing for driver fatigue monitoring
af: Habiba, Umme Saira, et al.
Udgivet: (2018)

Detecting brain tumor using deep neural networks from MRI images
af: Imamuzzaman, A.S.M., et al.
Udgivet: (2021)

Leveraging robust CNN architectures for real-time object recognition from conveyor belt
af: Moon, Nowrin Tasnim, et al.
Udgivet: (2023)

Automatic waste classification using deep learning and computer vision techniques
af: Akash, MD., et al.
Udgivet: (2023)

Fault detection in waste water treatment plant using statistical analysis & machine learning
af: Haque, Md. Ezazul, et al.
Udgivet: (2019)

Smoke detection using image processing
af: Sarker, Md. Kamrujjaman
Udgivet: (2018)

Inappropriate scene detection in a video stream
af: Tofa, Kamrun Nahar, et al.
Udgivet: (2018)

Automated intruder detection from image sequences using minimum volume sets
af: Ahmed, Tarem, et al.
Udgivet: (2016)

Bangla number plate recognition from noisy video footage using deep learning
af: Chowdhury, Mahfuzur Rahman, et al.
Udgivet: (2021)

A deep learning approach to integrate human-level understanding in a Chatbot
af: Al Mamun, Amirul Islam, et al.
Udgivet: (2021)

Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters
af: Bhuiyan, Md Raihanul Islam, et al.
Udgivet: (2024)

Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
af: Datta, Pranab, et al.
Udgivet: (2021)

An efficient approach to detect melanoma skin cancer using a custom CNN model
af: Rahman, K.M Saidur, et al.
Udgivet: (2023)

An efficient deep learning approach to detect skin Cancer
af: Islam, Ashfaqul, et al.
Udgivet: (2022)

Design of Arduino based home automation systems incorporating identity detection
af: Islam, Md. Wasif, et al.
Udgivet: (2018)

Development of intelligent home security system
af: Islam, Sayedul, et al.
Udgivet: (2017)

An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system
af: Anik, Md. Kamrul Islam
Udgivet: (2016)

An ambient assisted living system for Alzheimer’s patients
af: Abedin, Minhajul, et al.
Udgivet: (2023)

Performance analysis of machine learning classi ers for detecting PE malware
af: Azmee, ABM.Adnan, et al.
Udgivet: (2020)