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Akademický článek

A shallow 3D convolutional neural network for violence detection in videos

Autor: Naz Dündar, Ali Seydi Keçeli, Aydın Kaya, Hayri Sever

Publikováno v: Egyptian Informatics Journal, Vol 26, Iss , Pp 100455- (2024)

With the recent worldwide statistical rise in the amount of public violence, automated violence detection in surveillance cameras has become a matter of high importance. This work introduces an end-to-end, trainable 3D Convolutional Neural Network (3

Externí odkaz: https://doaj.org/article/c86a45b759b54c26af8b3bd727315846

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Akademický článek

Depth features to recognise dyadic interactions

Autor: Ali Seydi Keçeli, Aydın Kaya, Ahmet Burak Can

Publikováno v: IET Computer Vision, Vol 12, Iss 3, Pp 331-339 (2018)

Usage of depth sensors in activity recognition is an emerging technology in human–computer interaction. This study presents an approach to recognise human‐to‐human interactions by using depth information. Both hand‐crafted features and deep f

Externí odkaz: https://doaj.org/article/2e96c5f1ea5f4501bb639b19b39dc607

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A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges

Autor: Amiri, Ali, Kaya, Aydin, Keceli, Ali Seydi

Vehicle re-identification (ReID) endeavors to associate vehicle images collected from a distributed network of cameras spanning diverse traffic environments. This task assumes paramount importance within the spectrum of vehicle-centric technologies,

Externí odkaz: http://arxiv.org/abs/2401.10643

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Akademický článek

Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model

Autor: Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Bedir Tekinerdogan

Publikováno v: Sensors, Vol 20, Iss 11, p 3173 (2020)

For the agricultural food production sector, the control and assessment of food quality is an essential issue, which has a direct impact on both human health and the economic value of the product. One of the fundamental properties from which the qual

Externí odkaz: https://doaj.org/article/e8929c31b2cb474baa1ea1b914efbec5

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