We investigate the problem of person search in the wild in this work. Instead of comparing
the query against all candidate regions generated in a query-blind manner, we propose to …

Person search has recently gained attention as the novel task of finding a person, provided
as a cropped sample, from a gallery of non-cropped images, whereby several other people …

Human Activity Recognition (HAR) has become one of the leading research topics of the last
decade. As sensing technologies have matured and their economic costs have declined, a …

Abstract Progress in Multiple Object Tracking (MOT) has been limited by the size of the
available datasets. We present an efficient framework to annotate trajectories and use it to …

Cameras are widely used in the detection and tracking of moving targets. Compared to
target visual tracking using a single camera, cooperative tracking based on multiple …

Device-free localization (DFL) is a technique that can locate targets wearing no devices, and
has become an attractive technique for wide applications, such as intrusion detection and …

This contribution evaluates semi-automated annotation for generating high-quality data for
multi-channel time series Human Activity Recognition. For this purpose, time series data that …

An image processing apparatus includes an obtaining unit configured to obtain virtual
viewpoint information indicating a position and/or a direction of a virtual viewpoint …

eXpert-BSM is a real time forward-reasoning expert system that analyzes Sun Solaris audit
trails. Based on many years of intrusion detection research, eXpert-BSM's knowledge base …

Manual design of deep networks require numerous trials and parameter tuning, resulting in
inefficient utilization of time, energy, and resources. In this article, we present a neural …