Detección de vehículos en movimiento a partir de secuencias de video para el sistema de vigilancia del tráfico
DOI:
https://doi.org/10.5935/jetia.v7i27.731Resumen
En el escenario actual, los sistemas de transporte inteligente juegan un papel importante en la plataforma de la ciudad inteligente. La detección automática de vehículos en movimiento a partir de secuencias de video es el componente central del sistema de gestión de tráfico automatizado. Los seres humanos pueden detectar y reconocer fácilmente objetos de escenas complejas en un instante. Sin embargo, traducir ese proceso de pensamiento a una máquina requiere que aprendamos el arte de la detección de objetos utilizando algoritmos de visión por computadora. Este artículo resuelve los problemas de tráfico de las zonas urbanas con un sistema de transporte automático inteligente. Este documento incluye el recuento automático de vehículos con la ayuda del análisis de manchas, la resta de antecedentes con el uso de un modelo dinámico autorregresivo de media móvil, la identificación de los objetos en movimiento con la ayuda de un algoritmo de detección de bloques de límites y el seguimiento del vehículo. Este documento analiza el procedimiento de un sistema de congestión de tráfico basado en video y lo divide en gris, binarización, eliminación de nariz y detección de objetivos en movimiento. Los resultados de la investigación muestran que el sistema planificado puede proporcionar información útil para la vigilancia del tráfico.
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