Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "YOLO" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-5 z 5
    Tytuł:
    Detrimental Starfish Detection on Embedded System: A Case Study of YOLOv5 Deep Learning Algorithm and TensorFlow Lite framework
    Autorzy:
    Toan, Nguyen Quoc
    Powiązania:
    https://bibliotekanauki.pl/articles/2086221.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Lubelska. Instytut Informatyki
    Tematy:
    deep learning
    computer vision
    YOLO
    embedded system
    Opis:
    There is a great range of spectacular coral reefs in the ocean world. Unfortunately, they are in jeopardy, due to an overabundance of one specific starfish called the coral-eating crown-of-thorns starfish (or COTS). This article provides research to deliver innovation in COTS control. Using a deep learning model based on the You Only Look Once version 5 (YOLOv5) deep learning algorithm on an embedded device for COTS detection. It aids professionals in optimizing their time, resources, and enhances efficiency for the preservation of coral reefs worldwide. As a result, the performance over the algorithm was outstanding with Precision: 0.93 - Recall: 0.77 - F1score: 0.84.
    Źródło:
    Journal of Computer Sciences Institute; 2022, 23; 105--111
    2544-0764
    Pojawia się w:
    Journal of Computer Sciences Institute
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Identification of Garbage in the River Based on The YOLO Algorithm
    Autorzy:
    Suprapto, Bhakti Yudho
    Kelvin
    Kurniawan, Muhammad Arief
    Ardela, Muhammad Kevin
    Hikmarika, Hera
    Husin, Zainal
    Dwijayanti, Suci
    Powiązania:
    https://bibliotekanauki.pl/articles/2055273.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    control
    identification
    HSV and sift method
    USV
    yolo algorithm
    Opis:
    This paper discusses the identification of garbage using the YOLO algorithm. In the rivers, it is usually difficult to distinguish between garbage and plants, especially when it is done in real-time and at the time of too much light. Therefore, there is a need of an appropriate method. The HSV and SIFT methods were used as preliminary tests. The tests were quite successful even in close condition, however, there were still many problems faced in using this method since it is only based on pixel and shape readings. Meanwhile, YOLO algorithm was able to identify garbage and water hyacinth even though they were closed to each other.
    Źródło:
    International Journal of Electronics and Telecommunications; 2021, 67, 4; 727--733
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Integrated and deep learning–based social surveillance system : a novel approach
    Autorzy:
    Litoriya, Ratnesh
    Ramchandani, Dev
    Moyal, Dhruvansh
    Bothra, Dhruv
    Powiązania:
    https://bibliotekanauki.pl/articles/27314204.pdf
    Data publikacji:
    2022
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    Video Surveillance
    object detection
    object tracking
    YOLO v4 algorithm
    OpenCV
    Opis:
    In industry and research, big data applications are gaining a lot of traction and space. Surveillance videos contribute significantly to big unlabelled data. The aim of visual surveillance is to understand and determine object behavior. It includes static and moving object detection, as well as video tracking to comprehend scene events. Object detection algorithms may be used to identify items in any video scene. Any video surveillance system faces a significant challenge in detecting moving objects and differentiating between objects with same shapes or features. The primary goal of this work is to provide an integrated framework for quick overview of video analysis utilizing deep learning algorithms to detect suspicious activity. In greater applications, the detection method is utilized to determine the region where items are available and the form of objects in each frame. This video analysis also aids in the attainment of security. Security may be characterized in a variety of ways, such as identifying theft or violation of covid protocols. The obtained results are encouraging and superior to existing solutions with 97% accuracy.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 3; 30--39
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Vehicle tracking and speed estimation under mixed traffic conditions using YOLOV4 and sort: a case study of Hanoi
    Autorzy:
    Vuong, Xuan Can
    Mou, Rui-Fang
    Vu, Trong Thuat
    Powiązania:
    https://bibliotekanauki.pl/articles/2203861.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    vehicle tracking
    speed estimation
    mixed traffic conditions
    YOLO
    SORT
    śledzenie pojazdu
    szacowanie prędkości
    warunki ruchu mieszanego
    Opis:
    This paper presents a method to estimate vehicle speed automatically, including cars and motorcycles under mixed traffic conditions from video sequences acquired with stationary cameras in Hanoi City of Vietnam. The motion of the vehicle is detected and tracked along the frames of the video sequences using YOLOv4 and SORT algorithms with a custom dataset. In the method, the distance traveled by the vehicle is the length of virtual point-detectors, and the travel time of the vehicle is calculated using the movement of the centroid over the entrance and exit of virtual point-detectors (i.e., region of interest), and then the speed is also estimated based on the traveled distance and the travel time. The results of two experimental studies showed that the proposed method had small values of MAPE (within 3%), proving that the proposed method is reliable and accurate for application in real-world mixed traffic environments like Hanoi, Vietnam.
    Źródło:
    Transport Problems; 2022, 17, 4; 17--26
    1896-0596
    2300-861X
    Pojawia się w:
    Transport Problems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Soft computing techniques-based digital video forensics for fraud medical anomaly detection
    Autorzy:
    Nanda, Sunpreet Kaur
    Ghai, Deepika
    Ingole, P.V.
    Pande, Sagar
    Powiązania:
    https://bibliotekanauki.pl/articles/38701161.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Podstawowych Problemów Techniki PAN
    Tematy:
    smart healthcare system
    medical imaging
    healthcare fraud
    MRI imaging
    digital image forensics
    object detection
    YOLO architecture
    customized CNN
    inteligentny system opieki zdrowotnej
    obrazowanie medyczne
    oszustwo w służbie zdrowia
    obrazowanie MRI
    kryminalistyka obrazu cyfrowego
    detekcja obiektów
    architektura YOLO
    dostosowanie CNN
    Opis:
    The current pandemic situation has made it important for everyone to wear masks. Digital image forensics plays an important role in preventing medical fraud and in object detection. It is helpful in avoiding the high-risk situations related to the health and security of the individuals or the society, including getting the proper evidence for identifying the people who are not wearing masks. A smart system can be developed based on the proposed soft computing technique, which can be helpful to detect precisely and quickly whether a person wears a mask or not and whether he/she is carrying a gun. The proposed method gave 100% accurate results in videos used to test such situations. The system was able to precisely differentiate between those wearing a mask and those not wearing a mask. It also effectively detects guns, which can be used in many applications where security plays an important role, such as the military, banks, etc.
    Źródło:
    Computer Assisted Methods in Engineering and Science; 2023, 30, 2; 111-130
    2299-3649
    Pojawia się w:
    Computer Assisted Methods in Engineering and Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies