Convolutional Features Combining SL(3) Group for Visual Tracking

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود 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

Robust Visual Tracking via Hierarchical Convolutional Features

Visual tracking is challenging as target objects often undergo significant appearance changes caused by deformation, abrupt motion, background clutter and occlusion. In this paper, we propose to exploit the rich hierarchical features of deep convolutional neural networks to improve the accuracy and robustness of visual tracking. Deep neural networks trained on object recognition datasets consis...

متن کامل

Hierarchical Convolutional Features for Visual Tracking Supplementary Document

DLT [8] http://winsty.net/dlt.html CSK [5] http://home.isr.uc.pt/ ̃henriques/circulant/ STC [12] http://www4.comp.polyu.edu.hk/ ̃cslzhang/STC/STC.htm KCF [6] http://home.isr.uc.pt/ ̃henriques/circulant/ MIL [1] http://vision.ucsd.edu/project/tracking-online-multiple-instance-learning Struck [3] http://www.samhare.net/research/struck CT [13] http://www4.comp.polyu.edu.hk/ ̃cslzhang/CT/CT.htm LSHT [4...

متن کامل

Convolutional Regression for Visual Tracking

Recently, discriminatively learned correlation filters (DCF) has drawn much attention in visual object tracking community. The success of DCF is potentially attributed to the fact that a large amount of samples are utilized to train the ridge regression model and predict the location of object. To solve the regression problem in an efficient way, these samples are all generated by circularly sh...

متن کامل

Convolutional Gating Network for Object Tracking

Object tracking through multiple cameras is a popular research topic in security and surveillance systems especially when human objects are the target. However, occlusion is one of the challenging problems for the tracking process. This paper proposes a multiple-camera-based cooperative tracking method to overcome the occlusion problem.  The paper presents a new model for combining convolutiona...

متن کامل

Deep Tracking: Visual Tracking Using Deep Convolutional Networks

In this paper, we study discriminatively trained deep convolutional networks for the task of visual tracking. Our tracker utilizes both motion and appearance features extracted from a pre-trained dual stream deep convolution network. By using optical flow and deep networks to implement a dual appearance and motion stream to inform tracking, our tracker outperforms current state of the art track...

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: IEEE Access

سال: 2020

ISSN: 2169-3536

DOI: 10.1109/access.2020.2982215