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.

Bibliografiset tiedot
Päätekijät:	Haque, Tashfia, Ahmed, Farhan Fuad, Ahmed, S. M. Irfan, Siam, Mohammad
Muut tekijät:	Alam, Md. Golam Rabiul
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2024
Aiheet:	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
Linkit:	http://hdl.handle.net/10361/22667

Samankaltaisia teoksia

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

An integrated approach: fake review detection using convBERT-BiLSTM classification
Tekijä: Mahmud, Md. Anas, et al.
Julkaistu: (2024)

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

Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
Tekijä: Fiha, Yeamin Jahan, et al.
Julkaistu: (2022)

Real-time crime detection using convolutional LSTM and YOLOv7
Tekijä: Sakiba, Cyrus, et al.
Julkaistu: (2023)

Novel approach to detect hate speech and profanity on online platforms
Tekijä: Pritha, Barha Meherun, et al.
Julkaistu: (2022)

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

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

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

A comparative study of object detection models for Real Time Application in Surveillance Systems
Tekijä: Alam, Saimun, et al.
Julkaistu: (2022)

Eve-teasing detection from video footage using computer vision and artificial intelligence
Tekijä: Rapheo, Abdullah, et al.
Julkaistu: (2023)

A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
Tekijä: Morshed, Atique, et al.
Julkaistu: (2021)

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

Voice impersonation detection using LSTM based RNN and explainable AI
Tekijä: Barua, Kawshik, et al.
Julkaistu: (2022)

Real time performance analysis on DDoS attack detection using machine learning
Tekijä: Suvra, Debashis Kar, et al.
Julkaistu: (2021)

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

Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification
Tekijä: Tanvir, Farhan, et al.
Julkaistu: (2024)

Real-time foul detection in football matches using machine learning techniques
Tekijä: Siddiqui, Bishal Sadi, et al.
Julkaistu: (2024)

Multi-modal hate speech detection using machine learning
Tekijä: Shill, Ponkoj Chandra, et al.
Julkaistu: (2021)

Hybrid recommendation system of intelligent captioning using deep learning networks
Tekijä: Wasi, Ahamed Al, et al.
Julkaistu: (2024)

Hate speech detection using machine learning techniques
Tekijä: Manzoor, Tahbib, et al.
Julkaistu: (2024)

Anomaly detection In IoT using machine learning algorithms
Tekijä: Arko, Aritro Roy, et al.
Julkaistu: (2019)

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

Performance analysis of intrusion detection systems using the PyCaret machine learning library on the UNSW-NB15 dataset
Tekijä: Abdullah, et al.
Julkaistu: (2021)

Fraud detection in E-commerce using natural language processing
Tekijä: Kabir, Iftekhar, et al.
Julkaistu: (2023)

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

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

Prediction of genetic mutation from clinical data of sickle cell disease using few-shot siamese bidirectional LSTM and federated learning
Tekijä: Alam, Salman, et al.
Julkaistu: (2023)

Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model
Tekijä: Ghose, Swattic, et al.
Julkaistu: (2023)

Introducing AI in garment fault detection using YOLOv5 to reduce bottleneck
Tekijä: Sanjana, Jasia, et al.
Julkaistu: (2024)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
Tekijä: Rafat, Md. Tasbi, et al.
Julkaistu: (2023)

A modern technique to detect potholes by Computer Vision and Deep Learning
Tekijä: Saif, Muntasir Mahmud, et al.
Julkaistu: (2023)

Fire and disaster detection with multimodal quadcopter By machine learning
Tekijä: Afrin, Anika, et al.
Julkaistu: (2023)

Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN
Tekijä: Mostafa, Tanzim, et al.
Julkaistu: (2022)

Analysis of deep learning models on low-light pest detection
Tekijä: Irtiza, Md. Samin, et al.
Julkaistu: (2023)

Enhancing underwater object detection through water artifact removal and using ensemble transfer learning
Tekijä: Saikat, Nayem Hossain, et al.
Julkaistu: (2024)

TinyML for emotion detection in voice signals: evaluating and proposing algorithms for IoT wearable devices
Tekijä: Ahmed, Hasibul Hasan, et al.
Julkaistu: (2024)

A deep learning based autonomous electric vehicle on unstructured road conditions
Tekijä: Adnan, Ashik, et al.
Julkaistu: (2021)

Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
Tekijä: Datta, Anurag, et al.
Julkaistu: (2022)

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