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.

Xehetasun bibliografikoak
Egile Nagusiak:	Rapheo, Abdullah, Billah, A.T.M. Masum, Islam, Lamisha, MD Yahia Mahim, Abu Shale
Beste egile batzuk:	Rabiul Alam, Md. Golam
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2023
Gaiak:	Machine learning Eve teasing Detection CNN XGBoost VGG16 Gender classification Posture detection Sexual harassment of women > South Asia.
Sarrera elektronikoa:	http://hdl.handle.net/10361/19387

Antzeko izenburuak

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nork: Khan, Saira Rahman
Argitaratua: (2016)

Study: Sexual harassment common among young women workers in Bangladesh
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Argitaratua: (2022)

Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
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Argitaratua: (2024)

Real time action recognition from video footage
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Argitaratua: (2021)

Execution of coordinate based classifier system to predict specific criminal behavior using regional multi person pose estimator
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Argitaratua: (2022)

Harmful practices prevail despite legal knowledge: A mixed-method study on the paradox of child marriage in Bangladesh
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Argitaratua: (2022)

A hybrid approach to determine patients critical situation using expression & posture with convolutional neural network & Blazepose algorithm
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Argitaratua: (2024)

Rights of female garments workers in Bangladesh: a case of Chittagong
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Argitaratua: (2018)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
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Argitaratua: (2024)

Inflamed appendix detection from laparoscopic video footage using edge detection and morphological image processing
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Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
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Argitaratua: (2023)

Optical flow based violence detection from video footage using hybrid MobileNet and Bi-LSTM
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Argitaratua: (2024)

Comprehensive Campus Safeguarding Framework of Brac Universtiy
nork: Brac Univeristiy
Argitaratua: (2022)

An efficient approach for recyclable waste detection and classification using image processing techniques
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Argitaratua: (2024)

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
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Argitaratua: (2021)

Smoke detection using deep Convolutional neural network
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Argitaratua: (2021)

Detection of Parkinson’s disease from Neuro-imagery using deep neural network with transfer learning
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Argitaratua: (2021)

Bangla hate speech detection on social media using attention-based recurrent neural network
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Argitaratua: (2022)

Deep Learning based Bangla Voice to Braille Character Conversion System
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Argitaratua: (2022)

Segmentation based Kidney Tumor Classification using Deep Neural Network
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Argitaratua: (2022)

Prevalence and correlates of the risk of Sexual violence within marriage in Bangladesh
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Argitaratua: (2019)

Embedded real time blink detection system with heart rate sensing for driver fatigue monitoring
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Argitaratua: (2018)

Detecting brain tumor using deep neural networks from MRI images
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Argitaratua: (2021)

Leveraging robust CNN architectures for real-time object recognition from conveyor belt
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Argitaratua: (2023)

Automatic waste classification using deep learning and computer vision techniques
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Argitaratua: (2023)

Fault detection in waste water treatment plant using statistical analysis & machine learning
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Argitaratua: (2019)

Smoke detection using image processing
nork: Sarker, Md. Kamrujjaman
Argitaratua: (2018)

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

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

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

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

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

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

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

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

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

Development of intelligent home security system
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Argitaratua: (2017)

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

An ambient assisted living system for Alzheimer’s patients
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Argitaratua: (2023)

Performance analysis of machine learning classi ers for detecting PE malware
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Argitaratua: (2020)