An ART-type network approach for video object detection


Abstract:

This paper presents an ART-type network (adaptive resonant theory) to detect objects in a video sequence classifying the pixels as foreground or background. The proposed ART network (ART+) not only possesses the structure and learning ability of an ART-based network, but also uses a neural merging process to adapt the variability of the input data (pixels) in the scene along the time. Experimental results demonstrate the effectiveness and feasibility of the proposed ART+ approach for object detection. Standard datasets are used to compare the efficiency of the proposed approach against other traditional methods based on gaussian models.

Año de publicación:

2010

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Visión por computadora
    • Ciencias de la computación
    • Computadora

    Áreas temáticas de Dewey:

    • Métodos informáticos especiales
    Procesado con IAProcesado con IA

    Objetivos de Desarrollo Sostenible:

    • ODS 9: Industria, innovación e infraestructura
    • ODS 17: Alianzas para lograr los objetivos
    • ODS 8: Trabajo decente y crecimiento económico
    Procesado con IAProcesado con IA