NDLI: Visual tracking via ensemble autoencoder

Content Provider	IET Digital Library
Author	Dai, Bo Hou, Zhiqiang Yu, Wangsheng Zhu, Feng Wang, Xin Jin, Zefenfen
Abstract	The authors present a novel online visual tracking algorithm via ensemble autoencoder (AE). In contrast to other existing deep model based trackers, the proposed algorithm is based on the theory that the image resolution has an influence on vision procedures. When the authors employ a deep neural network to represent the object, the resolution is corresponding to the network size. The authors apply a small network to represent the pattern in a relatively lower resolution and search the object in a relatively larger area of the neighbourhood. After roughly estimating the location of the object, the authors apply a large network, which can provide more detailed information, to estimate the state of the object more accurately. Thus, the authors employ a small AE mainly for position searching and a larger one mainly for scale estimating. When tracking an object, the two networks interact to operate under the framework of particle filtering. Extensive experiments on the benchmark dataset show that the proposed algorithm performs favourably compared with some state-of-the-art methods.
Starting Page	1214
Ending Page	1221
Page Count	8
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 7, Jul (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.0486
Journal	IET Image Processing
Publisher Date	2018-02-23
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Benchmark Dataset Computer Vision And Image Processing Technique Deep Model Based Trackers Deep Neural Network Ensemble Autoencoder Filtering Method in Signal Processing Image Filtering Image Resolution Network Size Neural Computing Technique Neural Nets Object Tracking Online Visual Tracking Algorithm Optical, Image And Video Signal Processing Particle Filter Particle Filtering Small AE Vision Procedures
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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