Robots of the future should communicate with humans in a natural way. Hence, we are especially interested in hand motion based gesture interfaces. The purpose of this study was to present a reliable means for human-computer interfacing based on hand gestures made in three dimensions, which could be interpreted and adequately used in controlling a remote robot's movement. In this paper we discus...

Existing person search methods typically focus on improving detection accuracy. This ignores the model inference efficiency, which however is fundamentally significant for real-world applications. In this work, we address limitation by investigating scalability problem of involving both accuracy and efficiency simultaneously. Specifically, formulate a Hierarchical Distillation Learning (HDL) ap...

Recently, the relationship among individual pedestrian images and pairwise have become attractive for person re-identification (re-ID) as they effectively improve ability of feature representation. In this paper, we propose a novel method named Hybrid Relationship Network (HRNet) to learn two types relationships in unified framework that makes use their own advantages. Specifically, images, tak...

An visually handicapped person finds it tough to find the presence of any obstacles in their approach and it's terribly search out precise location stick if is misplaced. Thus, multifunctional blind comes as a projected answer assist impaired folks day living while not assistance others. This paper conducts survey on few vital up date developments sticks keep with utilization various microcontr...

BACKGROUND AIDS-related death and disease rates have declined in the highly active antiretroviral therapy (HAART) era and remain low; however, current causes of death in HAART-treated patients remain ill defined. OBJECTIVE To describe mortality trends and causes of death among HIV-infected patients in the HAART era. DESIGN Prospective, multicenter, observational cohort study of participants...

Recently, many methods of person re-identification (ReID) rely on part-based feature representation to learn a discriminative pedestrian descriptor. However, the spatial context between these parts is ignored for the independent extractor on each separate part. In this paper, we propose to apply Long Short-Term Memory (LSTM) in an end-to-end way to model the pedestrian, seen as a sequence of bo...