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.

Bibliografiset tiedot
Päätekijät:	Rapheo, Abdullah, Billah, A.T.M. Masum, Islam, Lamisha, MD Yahia Mahim, Abu Shale
Muut tekijät:	Rabiul Alam, Md. Golam
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2023
Aiheet:	Machine learning Eve teasing Detection CNN XGBoost VGG16 Gender classification Posture detection Sexual harassment of women > South Asia.
Linkit:	http://hdl.handle.net/10361/19387

Samankaltaisia teoksia

Violence, sexual harassment and law
Tekijä: Khan, Saira Rahman
Julkaistu: (2016)

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

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

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

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

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

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

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

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

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

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

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

Comprehensive Campus Safeguarding Framework of Brac Universtiy
Tekijä: Brac Univeristiy
Julkaistu: (2022)

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

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

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

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

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

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

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

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

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

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

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

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

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

Smoke detection using image processing
Tekijä: Sarker, Md. Kamrujjaman
Julkaistu: (2018)

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

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

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

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

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

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

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

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

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

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

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

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

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