Vehicle detection based on image analysis has attracted increasing attention in recent years
due to its low cost, flexibility, and potential toward collision avoidance. In particular, vehicle …

In this correspondence, we propose a novel, efficient, and effective Refined Histogram (RH)
for modeling the wavelet subband detail coefficients and present a new image signature …

Many face-recognition (FR) methods have been proposed thus far. Although FR has
achieved wisdom in square pixel-based image processing (SIP) due to many studies, this …

The local binary patterns (LBP) operator is a powerful multi-resolution micro-texture
descriptor, which can be applied to many image-processing applications. However, existing …

This paper proposes an improved robust descriptor: the Joint Local Binary Patterns with
Weber-like responses (JLBPW). The JLBPW descriptor mainly solves two problems of the …

Face recognition remains critical and up-to-date due to its undeniable contribution to
security. Many descriptors, the most vital figures used for face discrimination, have been …

This paper proposes a novel high-performance gradient-based local descriptor that handles
the prominent challenges of face recognition such as resistance against rotational …

This paper presents a new efficient technique for unsupervised segmentation of textured
images that aims at incorporating the advantages of supervision for discriminating texture …

Video analytics play a critical role in most recent traffic monitoring and driver assistance
systems. In this context, the correct detection and classification of surrounding vehicles …

Image-based vehicle recognition is usually addressed as a supervised classification
problem. Here, vehicle recognition is performed using two different transforms such as …