Optical flow based violence detection from video footage using hybrid MobileNet and Bi-LSTM

Optical flow based violence detection from video footage using hybrid MobileNet and Bi-LSTM

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

Opis bibliograficzny
Główni autorzy:	Haque, Tashfia, Ahmed, Farhan Fuad, Ahmed, S. M. Irfan, Siam, Mohammad
Kolejni autorzy:	Alam, Md. Golam Rabiul
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2024
Hasła przedmiotowe:	Surveillance camera Violence detection Deep learning Motion detection Beating Use of weapons Burning Optical flow Bidirectional Long Short-Term Memory (Bi-LSTM) MobileNet V2 Crime detection Real-time monitoring Proactive security management Machine learning Cognitive learning theory
Dostęp online:	http://hdl.handle.net/10361/22667

Podobne zapisy

Real time action recognition from video footage
od: Apon, Tasnim Sakib, i wsp.
Wydane: (2021)

An integrated approach: fake review detection using convBERT-BiLSTM classification
od: Mahmud, Md. Anas, i wsp.
Wydane: (2024)

Automated intruder detection from image sequences using minimum volume sets
od: Ahmed, Tarem, i wsp.
Wydane: (2016)

Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
od: Fiha, Yeamin Jahan, i wsp.
Wydane: (2022)

Real-time crime detection using convolutional LSTM and YOLOv7
od: Sakiba, Cyrus, i wsp.
Wydane: (2023)

Novel approach to detect hate speech and profanity on online platforms
od: Pritha, Barha Meherun, i wsp.
Wydane: (2022)

Violent activity detection through surveillance camera using deep learning
od: Miah, Parvez, i wsp.
Wydane: (2023)

Fault detection in waste water treatment plant using statistical analysis & machine learning
od: Haque, Md. Ezazul, i wsp.
Wydane: (2019)

Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models
od: Barua, Debalina
Wydane: (2023)

A comparative study of object detection models for Real Time Application in Surveillance Systems
od: Alam, Saimun, i wsp.
Wydane: (2022)

Eve-teasing detection from video footage using computer vision and artificial intelligence
od: Rapheo, Abdullah, i wsp.
Wydane: (2023)

A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
od: Morshed, Atique, i wsp.
Wydane: (2021)

Tomato leaf disease detection using Resnet-50 and MobileNet Architecture
od: Tahamid, Abu
Wydane: (2021)

Voice impersonation detection using LSTM based RNN and explainable AI
od: Barua, Kawshik, i wsp.
Wydane: (2022)

Real time performance analysis on DDoS attack detection using machine learning
od: Suvra, Debashis Kar, i wsp.
Wydane: (2021)

Smart surveillance system for identifying bikers without helmets using deep learning
od: Hossain, MD. Iqbal, i wsp.
Wydane: (2020)

Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification
od: Tanvir, Farhan, i wsp.
Wydane: (2024)

Real-time foul detection in football matches using machine learning techniques
od: Siddiqui, Bishal Sadi, i wsp.
Wydane: (2024)

Multi-modal hate speech detection using machine learning
od: Shill, Ponkoj Chandra, i wsp.
Wydane: (2021)

Hybrid recommendation system of intelligent captioning using deep learning networks
od: Wasi, Ahamed Al, i wsp.
Wydane: (2024)

Hate speech detection using machine learning techniques
od: Manzoor, Tahbib, i wsp.
Wydane: (2024)

Anomaly detection In IoT using machine learning algorithms
od: Arko, Aritro Roy, i wsp.
Wydane: (2019)

Using deep learning algorithms to detect violent activities
od: Ammar, S.M. Rojin, i wsp.
Wydane: (2019)

Performance analysis of intrusion detection systems using the PyCaret machine learning library on the UNSW-NB15 dataset
od: Abdullah, i wsp.
Wydane: (2021)

Fraud detection in E-commerce using natural language processing
od: Kabir, Iftekhar, i wsp.
Wydane: (2023)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
od: Radiah, Faiza, i wsp.
Wydane: (2024)

An efficient deep learning approach to detect skin Cancer
od: Islam, Ashfaqul, i wsp.
Wydane: (2022)

Prediction of genetic mutation from clinical data of sickle cell disease using few-shot siamese bidirectional LSTM and federated learning
od: Alam, Salman, i wsp.
Wydane: (2023)

Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model
od: Ghose, Swattic, i wsp.
Wydane: (2023)

Introducing AI in garment fault detection using YOLOv5 to reduce bottleneck
od: Sanjana, Jasia, i wsp.
Wydane: (2024)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
od: Rafat, Md. Tasbi, i wsp.
Wydane: (2023)

A modern technique to detect potholes by Computer Vision and Deep Learning
od: Saif, Muntasir Mahmud, i wsp.
Wydane: (2023)

Fire and disaster detection with multimodal quadcopter By machine learning
od: Afrin, Anika, i wsp.
Wydane: (2023)

Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN
od: Mostafa, Tanzim, i wsp.
Wydane: (2022)

Analysis of deep learning models on low-light pest detection
od: Irtiza, Md. Samin, i wsp.
Wydane: (2023)

Enhancing underwater object detection through water artifact removal and using ensemble transfer learning
od: Saikat, Nayem Hossain, i wsp.
Wydane: (2024)

TinyML for emotion detection in voice signals: evaluating and proposing algorithms for IoT wearable devices
od: Ahmed, Hasibul Hasan, i wsp.
Wydane: (2024)

A deep learning based autonomous electric vehicle on unstructured road conditions
od: Adnan, Ashik, i wsp.
Wydane: (2021)

Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
od: Datta, Anurag, i wsp.
Wydane: (2022)

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
od: Shakil, Mahmudul Hasan
Wydane: (2023)