Object Ground Separation via Stochastic Depth Analysis

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Dimension reduction via timescale separation in stochastic dynamical systems

We review the development and applications of a systematic framework for dimension reduction in stochastic dynamical systems that exhibit a separation of timescales. When a multidimensional stochastic dynamical system possesses quantities that are approximately conserved on short timescales, it is common to observe on long timescales that trajectories remain close to some lower-dimensional subs...

متن کامل

Stochastic Analysis via Robust Optimization

To evaluate the performance and optimize systems under uncertainty, two main avenues have been suggested in the literature: stochastic analysis and optimization describing the uncertainty probabilistically and robust optimization describing the uncertainty deterministically. Instead, we propose a novel paradigm which leverages the conclusions of probability theory and the tractability of the ro...

متن کامل

Sleep monitoring via depth video compression & analysis

Quality of sleep greatly affects a person’s physiological well-being. Traditional sleep monitoring systems are expensive in cost and intrusive enough that they disturb natural sleep of clinical patients. In this paper, we propose an inexpensive non-intrusive sleep monitoring system using recorded depth video only. In particular, we propose a two-part solution composed of depth video compression...

متن کامل

Depth Separation for Neural Networks

Let f : Sd−1 × Sd−1 → R be a function of the form f(x,x′) = g(〈x,x′〉) for g : [−1, 1]→ R. We give a simple proof that shows that poly-size depth two neural networks with (exponentially) bounded weights cannot approximate f whenever g cannot be approximated by a low degree polynomial. Moreover, for many g’s, such as g(x) = sin(πdx), the number of neurons must be 2 . Furthermore, the result holds...

متن کامل

Occlusion Analysis: Learning and Utilising Depth Maps in Object Tracking

Complex scenes such as underground stations and malls are composed of static occlusion structures such as walls, entrances, columns, turnstiles, barriers, etc. Unless this occlusion landscape is made explicit such structures can defeat the process of tracking individuals through the scene. This paper describes a method of generating the probability density functions (PDFs) for the depth of the ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications

سال: 2008

ISSN: 2188-4730,2188-4749

DOI: 10.5687/sss.2008.189