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.
Κύριοι συγγραφείς: | Haque, Tashfia, Ahmed, Farhan Fuad, Ahmed, S. M. Irfan, Siam, Mohammad |
---|---|
Άλλοι συγγραφείς: | Alam, Md. Golam Rabiul |
Μορφή: | Thesis |
Γλώσσα: | English |
Έκδοση: |
Brac University
2024
|
Θέματα: | |
Διαθέσιμο Online: | http://hdl.handle.net/10361/22667 |
Παρόμοια τεκμήρια
-
Real time action recognition from video footage
ανά: Apon, Tasnim Sakib, κ.ά.
Έκδοση: (2021) -
An integrated approach: fake review detection using convBERT-BiLSTM classification
ανά: Mahmud, Md. Anas, κ.ά.
Έκδοση: (2024) -
Automated intruder detection from image sequences using minimum volume sets
ανά: Ahmed, Tarem, κ.ά.
Έκδοση: (2016) -
Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
ανά: Fiha, Yeamin Jahan, κ.ά.
Έκδοση: (2022) -
Real-time crime detection using convolutional LSTM and YOLOv7
ανά: Sakiba, Cyrus, κ.ά.
Έκδοση: (2023)