Extreme action recognition from real-time video using time-series deep learning model

QR Code

Extreme action recognition from real-time video using time-series deep learning model

The development of an extreme action recognition model to automate police surveillance can improve police deployment speed to crime scenes such as assault, robbery, kidnapping and other offences. However, the existing solution of extreme action recognition is insufficient to be deployed with high co...

Full description

Bibliographic Details
Main Author:	Goh, Qing Hao
Format:	Final Year Project / Dissertation / Thesis
Published:	2021
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utar.edu.my/5384/ http://eprints.utar.edu.my/5384/1/1700099_Final_%2D_QING_HAO_GOH.pdf

Similar Items

Real time iris recognition system
by: Sim, Tze Heng
Published: (2012)

Leveraging 3D skeleton video extraction and deep learning for real-time sign language recognition model
by: Ang, Zi Ying
Published: (2024)

Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data
by: Atik, Faysal, et al.
Published: (2022)

Real-time human action recognition using stacked sparse autoencoders
by: Farooq, Adnan, et al.
Published: (2018)

Time-series classification vegetables in detecting growth rate using machine learning
by: Ezahan Hilmi, Zakaria, et al.
Published: (2021)

Pattern recognition of lettuce varieties with machine learning / Seri' Aisyah Hassim
by: Seri' Aisyah , Hassim
Published: (2019)

Real-time human detection for video surveillance
by: Kamru Zaman, Fadhlan H., et al.
Published: (2011)

Real-time human activity recognition
by: Albukhary, N., et al.
Published: (2017)

Video based human activities recognition using deep learning
by: Roubleh, A. A., et al.
Published: (2020)

A survey on video face recognition using deep learning
by: Muhammad Firdaus Mustapha,, et al.
Published: (2022)

A real time deep learning based driver monitoring system
by: Wani, Sharyar, et al.
Published: (2019)

A real time marking inspection scheme for semiconductor industries
by: Nagarajan, R., et al.
Published: (2007)

Smart attendance system with Iot based face recognition using deep learning approach
by: Seah, You
Published: (2023)

Localized deep extreme learning machines for efficient RGB-D object recognition
by: Mohd Zaki, Hasan Firdaus, et al.
Published: (2015)

A survey on video segmentation for real-time applications
by: Maarif, Haris Al Qodri, et al.
Published: (2011)

Comparative study of integrated transceiver for real time monitoring in rescue operation
by: Uddin, Md. Nasir, et al.
Published: (2016)

Real Time vehicle license plate recognition
by: Suleiman, Ahmad, et al.
Published: (2014)

Real time gesture recognition system for ADAS
by: Chee, Ying Xuan
Published: (2018)

Deep learning methods for facial expression recognition
by: Mohammad Masum Refat, Chowdhury, et al.
Published: (2019)

Badminton smashing recognition through video performance by using deep learning
by: Yip, Zi Ying, et al.
Published: (2022)

New hybrid deep learning method to recognize human action from video
by: Md Shofiqul, Islam, et al.
Published: (2021)

Sign language recognition using deep learning through LSTM and CNN
by: Kiran, Pandian, et al.
Published: (2023)

Hyperparameter tuning of deep neural network in time series forecasting
by: Xiang, Kelly Pang Li, et al.
Published: (2024)

Hyperparameter tuning of deep neural network in time series forecasting
by: Abdul Halim, Syafrina, et al.
Published: (2024)

A real-time PCR technique in the identification of over-stunned slaughtered chicken
by: Amid, Azura, et al.
Published: (2010)

A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework
by: Bari, Bifta Sama, et al.
Published: (2021)

Real Time Multiple Codecs Switching Architecture For Video Conferencing.
by: Sarwar, Usman
Published: (2008)

Real-time time series error-based data reduction for internet-of-things applications
by: Wong, Siaw Ling
Published: (2018)

Tri-axial Time-frequency Analysis for Tool Failures Detection in Deep Twist Drilling Process
by: M. H. S., Harun, et al.
Published: (2016)

Development of video-based emotion recognition using deep learning with Google colab
by: Gunawan, Teddy Surya, et al.
Published: (2020)

4D : A real-time driver drowsiness detector using deep learning
by: Jahan, Israt, et al.
Published: (2023)

Acoustic methods in real-time welding process monitoring: Application and future potential advancement
by: Mohd Fadhlan, Mohd Yusof, et al.
Published: (2021)

Improved static and dynamic FBG sensor system for real-time monitoring of composite structures
by: Vorathin, Epin
Published: (2017)

Real-time facial expression recognitions: A review
by: Adeshina, Adekunle Micheal, et al.
Published: (2009)

Real-time facial expression recognition system (FERS)
by: Thelehaswary, Appalasamy
Published: (2011)

Real time junction recognition using image matching
by: Tan, Yi Xuan
Published: (2023)

DealWithIt - Real Time Price Checker with Object Recognition
by: Eng, Yvonne Xin Yee
Published: (2024)

Real-time face recognition for human tracking system
by: Nawawi, Sophan Wahyudi, et al.
Published: (2020)

Real-time video segmentation using color information and connected component labeling:application to road sign detection and recognition
by: Lydia, Ubong Jau
Published: (2011)

Hand blood vessels pattern recognition
by: Tan, Xuan Qing
Published: (2023)