HOG-based multi-scale motion detection

Li He; Guijin Wang; Qingmin Liao

doi:10.1117/12.2037512

19 December 2013 HOG-based multi-scale motion detection

Li He, Guijin Wang, Qingmin Liao

Proceedings Volume 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 90450J (2013) https://doi.org/10.1117/12.2037512
Event: International Conference on Optical Instruments and Technology (OIT2013), 2013, Beijing, China

Abstract

Real-time accurate motion detection is a key step for many visual applications, such as object detection, smart video surveillance and so on. Although lots of considerable research efforts have been devoted to it, it is still a challenging task due to illumination variation, etc. In order to enhance the robustness to illumination changes, many block-based motion detection algorithms are proposed. However, these methods usually neglect the influences of different block sizes. Furthermore, they cannot choose background-modeling scale automatically as environment changes. These weaknesses limit algorithm’s flexibility and their application scenes. In the paper, we propose a multi-scale motion detection algorithm to benefit from different block sizes. Moreover, an adaptive linear fusion strategy is designed through analyzing the accurateness and robustness of background models at different scales. At detecting, the ratios of different scales would be adjusted as the scene changes. In addition, to reduce the computation cost at each scale, we design an integral image structure for HOG feature of different scales. As a result, all features only need to be computed once. Different out-of-door experiments are tested and demonstrate the performance of proposed model.

Citation Download Citation

Li He, Guijin Wang, and Qingmin Liao "HOG-based multi-scale motion detection", Proc. SPIE 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 90450J (19 December 2013); https://doi.org/10.1117/12.2037512

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
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Motion models

Motion detection

Performance modeling

Data modeling

Image fusion

Detection and tracking algorithms

Video surveillance

Show All Keywords

Keywords/Phrases

Search In:

Publication Years