International Conference on Information and Knowledge Technology

فارسی

Home / دوازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش

Violence detection using one-dimensional convolutional networks

Authors :

Narges Honarjoo¹ Ali Abdari² Azadeh Mansouri³

1- دانشگاه خوارزمی 2- دانشگاه خوارزمی 3- دانشگاه خوارزمی

Keywords :

violence detection، one-dimensional convolution، real-time application، temporal pooling

Abstract :

Violence detection in surveillance video processing is a useful capability helping discover abnormal events in different places. Utilizing methods considering the accuracy and complexity simultaneously can provide systems suitable for real-time applications. In this paper, by exploiting one-dimensional convolutional networks a new approach is proposed which extracts the temporal features across consecutive frames properly. This approach not only represents a series of frames with a robust feature vector, but it also is low-complexity and can be applied for real-time applications. The experimental results on Hockey, ViolentFlow reveal the efficiency of the proposed method

List of archived papers

استفاده از هوش مصنوعی در فضای آموزش عالی: آن روی سکه

محمدمتین لیث صفار - عسل آغاز

Improving Privacy Protection in a Collaborative Blockchain-based E-Health Records System

Arman Emam-Hoseini - Samane Sobuti - دکتر سیاوش خرسندی - Alireza Hashemi-Golpayeghani

تشخیص بیماری شب‌کوری با استفاده از ترکیب الگوریتم‌های یادگیری عمیق

میثم فتاحی

A Survey on Utilizing Reinforcement Learning in Wireless Sensor Networks Routing Protocols

Ali Forghani Elah Abadi - Seyedeh Elham Asghari - Sepideh Sharifani - Seyyed Amir Asghari - Mohammadreza Binesh Marvasti

OENMOP: Loss-Aware 4×4 and 5×5 and Scalable Non‑blocking Optical Switches Designed for Odd-Even Routing Algorithm for Chip-Scale Interconnection Networks

Negin Bagheri Renani - Elham Yaghoubi - Mina Mohammadirad

Wireless Virtual-Reality by considering Hybrid Beamforming in IEEE802.11ay standard

Nasim Alikhani - Abbas Mohammadi

Intent-Based Classification of Multi-Stage Cyber Attacks Using Attacker TTPs and Machine Learning

Fatemeh Imanimehr - Hamed Ebrahimi

LuckyAgent2022: A Stop-Learning Multi-Armed Bandit Automated Negotiating Agent

Arash Ebrahimnezhad - Faria Nassiri-Mofakham

A Novel Approach to Data mining algorithms and IoT based data mining machine learning

Danial Ramezani - Seyed Hossein Siadat

خوشه بندی مقید داده ها به کمک اتوماتای یادگیر سلولی

شکوفه علی محمدی - احمدعلی آبین

more

Samin Hamayesh - Version 44.5.0