A visual tracking method based on deep learning without online model updating

Cong Tang; Yicheng Wang; Yunsong Feng; Chao Zheng; Wei Jin

doi:10.1117/12.2315389

20 February 2018 A visual tracking method based on deep learning without online model updating

Cong Tang, Yicheng Wang, Yunsong Feng, Chao Zheng, Wei Jin

Proceedings Volume 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application; 1069726 (2018) https://doi.org/10.1117/12.2315389
Event: Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 2017, Nanjing, China

Abstract

The paper proposes a visual tracking method based on deep learning without online model updating. In consideration of the advantages of deep learning in feature representation, deep model SSD (Single Shot Multibox Detector) is used as the object extractor in the tracking model. Simultaneously, the color histogram feature and HOG (Histogram of Oriented Gradient) feature are combined to select the tracking object. In the process of tracking, multi-scale object searching map is built to improve the detection performance of deep detection model and the tracking efficiency. In the experiment of eight respective tracking video sequences in the baseline dataset, compared with six state-of-the-art methods, the method in the paper has better robustness in the tracking challenging factors, such as deformation, scale variation, rotation variation, illumination variation, and background clutters, moreover, its general performance is better than other six tracking methods.

Citation Download Citation

Cong Tang, Yicheng Wang, Yunsong Feng, Chao Zheng, and Wei Jin "A visual tracking method based on deep learning without online model updating", Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 1069726 (20 February 2018); https://doi.org/10.1117/12.2315389

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Detection and tracking algorithms

Video

Optical tracking

Visual process modeling

Feature extraction

Neural networks

Sensors

Show All Keywords

Keywords/Phrases

Search In:

Publication Years