Detección de peatones con variaciones de forma al caminar con Modelos de Forma Activa

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Juan Alberto Antonio http://orcid.org/0000-0003-3052-3171
Marcelo Romero http://orcid.org/0000-0002-4758-8484

Resumen

Se provee un detector de peatones con el algoritmo modelos de forma activa (ASM), con las etapas entrenamiento (PDM) y ajuste (ASM). Con PDM, se marcan 50 landmarks y se extraen los perfiles de grises en la silueta de cada peatón en 137 imágenes (peatón 1 y peatón 2) aplicando los modos de variación (PCA). El aporte de este trabajo es el ajuste y detección de un peatón a pesar de las variaciones. Al final los resultados evaluados con leave one out en cada imagen de 1 080 × 720 pixeles y con la métrica del error cuadrático medio (MSE) se obtiene un promedio total de 12.7 pixeles en la distancia de error entre los landmarks originales y los landmarks estimados. 

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Como citar
ANTONIO, Juan Alberto; ROMERO, Marcelo. Detección de peatones con variaciones de forma al caminar con Modelos de Forma Activa. CIENCIA ergo-sum, [S.l.], v. 27, n. 3, nov. 2020. ISSN 2395-8782. Disponible en: <https://cienciaergosum.uaemex.mx/article/view/12255>. Fecha de acceso: 18 abr. 2021 doi: https://doi.org/10.30878/ces.v27n3a10.
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