A light weight approach for real-time background subtraction in camera surveillance systems

E Ince, S Kutuk, R Abri, S Abri… - 2022 IEEE 5th …, 2022 - ieeexplore.ieee.org
Real time processing in the context of image processing for topics like motion detection and
suspicious object detection requires processing the background more times. In this field …

Multi-thread approach to object detection using yolov3

R Abri, S Abri, A Yarici, S Çetin - … & Vision (ICIEV) and 2020 4th …, 2020 - ieeexplore.ieee.org
Recently, In the field of the object detection process, Convolutional Neural Network (CNN)
methods have been applied as more efficient solutions. In the CNN methods, You Look Only …

An analytical comparison of approaches to real-time object detection to handle concurrent surveillance video streams

S Abri, R Abri, S Çetin - 2021 6th International Conference on …, 2021 - ieeexplore.ieee.org
In some environments, there is a need to process multiple real-time object detection
algorithms concurrently, where each object detection algorithm receives a live stream from a …

[PDF][PDF] Similarity Learning for Person Re-Identification Using Deep Auto-Encoder.

S Kutuk, R Abri, S Abri, S Çetin - WEBIST, 2023 - scitepress.org
Person re-identification (ReID) has been one of the most crucial issues in computer vision,
particularly for reasons of security and privacy. Person re-identification generally aims to …

[PDF][PDF] CLASSIFICATION OF TRAFFIC SIGNS BASED ON OBJECT RECOGNITION

KH Vitlari - 2021 - deopsys.aegean.gr
Traffic lights recognition and classification play an important role in the realization of
autonomous vehicles. This automated process uses video (frames) to recognize and classify …

Classification of traffic signs based on object recognition

Κ Βίλταρη - 2021 - hellanicus.lib.aegean.gr
Traffic lights recognition and classification play an important role in the realization of
autonomous vehicles. This automated process uses video (frames) to recognize and classify …