Pedestrian detection, as a research hotspot in the field of computer vision, is widely used in
many fields, such as automatic driving, video surveillance, robots and so on. In recent years …

Orthogonal moments and their invariants to similarity transformations for monochrome and
gray-scale images are widely used in many pattern recognition and image processing …

Orthogonal moments were successfully used to extract features from gray-scale and color
images. Recently, scientists show that orthogonal moments of fractional-orders have better …

Pedestrian detection has emerged as a fundamental technology for autonomous cars,
robotics, pedestrian search, and other applications. Although a lot of progress has been …

The rapid changes in the economic situation and the complex market environment make the
cross-border e-commerce industry, as an important part of the market economy, face many …

The orthogonal moments are giving relevant results of these last years within the framework
of object detection, pattern recognition and image reconstruction. This article is based on …

Video object extraction (VOE) refers to the challenging task of separating foreground objects
automatically from a background. Aiming to resolve the problems of incomplete extraction of …

Human detection and tracking from infrared image sequences has received considerable
attention in many practical applications, ranging from security and surveillance to automated …

The superimposed text in color images is an important clue to help understand the content of
the image. Extracting and translating it into a familiar language is a hot research topic in the …

[ES] En este artículo proponemos un método que permite mejorar la clasificación de
imágenes en conjuntos de datos en los que la imagen contiene un único objeto. Para ello …