The way people walk is a strong correlate of their identity. Several studies have shown that
both humans and machines can recognize individuals just by their gait, given that proper …

Learning semantic attributes for person re-identification and description-based person
search has gained increasing interest due to attributes' great potential as a pose and view …

It is not uncommon to hear a person of interest described by their height, build, and clothing
(ie type and colour). These semantic descriptions are commonly used by people to describe …

In this work an experimental study about the capability of the LBP, HOG descriptors and
color for clothing attribute classification is presented. Two different variants of the LBP …

As critical infrastructure such as transportation hubs continue to grow in complexity, greater
importance is placed on monitoring these facilities to ensure their secure and efficient …

Person re-identification has received considerable attention in the image processing,
computer vision and pattern recognition communities because of its huge potential for video …

To date, surveillance based person search has focused on locating a person of interest from
an image query, distinct from the law enforcement task of locating a person from a …

A multi‐directional salience based similarity evaluation for person re‐identification (re‐id) is
presented. After distribution analysis for salience consistency between image pairs, a …

Clothing attributes, of which color plays an important role, are receiving more and more
interests in machine vision researches and applications because of their uses and …

High Performance Computing (HPC) facilities serve as infrastructure for solving demanding
computational problems met in various domains. HPC involves expensive resources both …