We present a multi-camera system based on Bayesian modality fusion to track multiple people in an indoor environment. Bayesian networks are used to combine multiple modalities for matching subjects between consecutive imge frames and between multipl
This paper surveys the theory of compressive sampling also known as compressed sensing, or CS, a novel sensing/sampling paradigm that goes against the common wisdom in data acquisition. The CS theory asserts that one can recover certain signals and
A NEW INTRODUCTION TO MODAL LOGIC Preface ix Part One: Basic Modal Propositional Logic 1 The Basic Notions 3 The language of PC C) Interpretation D) Further operators F) Interpretation of A , D and s G) Validity (8) Testing for validity: (i) the tru
Because of the availability of powerful computational techniques, new modality techniques such as Computer-Aided Tomography (CAT), Magnetic Resonance Imaging (MRI) and others, and because of the new techniques of imaging processing (machine vision),
Surveillance systems such as object tracking and detection systems typically rely on a single modality of color video for their input. These systems work well in controlled conditions but often fail when low lighting, shadowing, smoke, dust or unsta
Introduction Introduction 7 Organization of This Document 7 Chapter 1 Key iPad Features and Characteristics 9 iPad Device Characteristics 9 New UI Elements and Behaviors 10 Chapter 2 From iPhone Application to iPad Application 11 Design Strategies f
The use of tendons for the transmission of the forces and the movements in robotic devices has been investigated from several researchers all over the world. The interest in this kind of actuation modality is based on the possibility of optimizing t
Hetero-Center Loss for Cross-Modality Person Re-Identification
当前的问题及概述：
目前所有的框架都在解决跨模态差异问题，很少有研究探讨改进类内跨模态相似性。
本文提出了一个新的损失函数，称为异中心损失(HC损失)，以减少类内交叉模态的变化。具体来说，HC损失可以通过约束两个异质模态之间的类内中心距离来监督网络学习的跨模态不变信息。在交叉熵损失和HC损失的联合监督下，训练网络尽可能多地实现类间差异和类内交叉模态相似性这两个重要目标。
Ultrasound-guided biopsy procedure for prostate cancer diagnosis, which is the current gold standard, involves quasi-random sampling of prostate tissue without any functional guidance. In this study, we discuss the possibility to augment the detectio
Self-mixing interferometry (SMI) is an attractive sensing scheme that typically relies on mono-modal operation of an employed laser diode. However, change in laser modality can occur due to change in operating conditions. So, detection of occurrence
