The advantages of intelligent approaches such as the conjunction of artificial vision and the use of Unmanned Aerial Vehicles (UAVs) have been recently emerging. This paper presents a focused on obtaining scans of large areas of livestock system. Counting and monitoring of animal species can be performed with video recordings taken from UAVs. Moreover the system keeps track of the number of animals detected by analyzing the images taken with the UAVs cameras. Several tests have been performed to evaluate this system and preliminary results and the conclusions are presented in this paper.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    RETRACTED CHAPTER: UAVs Applied to the Counting and Monitoring of Animals


    Weitere Titelangaben:

    Advs in Intelligent Syst., Computing


    Beteiligte:
    Ramos, Carlos (Herausgeber:in) / Novais, Paulo (Herausgeber:in) / Nihan, Céline Ehrwein (Herausgeber:in) / Corchado Rodríguez, Juan M. (Herausgeber:in) / Chamoso, Pablo (Autor:in) / Raveane, William (Autor:in) / Parra, Victor (Autor:in) / González, Angélica (Autor:in)


    Erscheinungsdatum :

    01.01.2014


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    RETRACTED CHAPTER: Vehicle Flow Prediction Through Probabilistic Modeling

    Silva, Jesús / Varela, Noel / Lezama, Omar Bonerge Pineda et al. | Springer Verlag | 2020


    RETRACTED CHAPTER: An Innovative Selection of Road Side Unit Emplacement in VANETs

    Reddy, K. Suresh Kumar / Tamizhazhagan, V. | Springer Verlag | 2019



    RETRACTED CHAPTER: Vulnerability of Interspersed Railway Tracks Exposed to Flood and Washaway Conditions

    Kaewunruen, Sakdirat / Nishinomiya, Yuki / Hosoda, Mitsuru | Springer Verlag | 2021


    RETRACTED CHAPTER: Analysis and Research on Seismic Performance of Catenary System on Sichuan-Tibet Railway

    Yang, Jia / Chen, Fenfei / Liang, Jingwen et al. | Springer Verlag | 2022