Online maintaining appearance model using particle filter

Siying Chen; Tian Lan; Jianyu Wang; Guoqiang Ni

doi:10.1117/12.755272

29 November 2007 Online maintaining appearance model using particle filter

Siying Chen, Tian Lan, Jianyu Wang, Guoqiang Ni

Proceedings Volume 6833, Electronic Imaging and Multimedia Technology V; 68331Y (2007) https://doi.org/10.1117/12.755272
Event: Photonics Asia 2007, 2007, Beijing, China

Abstract

Tracking by foreground matching heavily depends on the appearance model to establish object correspondences among frames and essentially, the appearance model should encode both the difference part between the object and background to guarantee the robustness and the stable part to ensure tracking consistency. This paper provides a solution for online maintaining appearance models by adjusting features in the model. Object appearance is co-modeled by a subset of Haar features selected from the over-complete feature dictionary which encodes the discriminative part of object appearance and the color histogram which describes the stable appearance. During the particle filtering process, feature values both from background patches and object observations are sampled efficiently by the aid of "foreground" and "background" particles respectively. Based on these sampled values, top-ranked discriminative features are added and invalid features are removed out to ensure the object being distinguishable from current background according to the evolving appearance model. The tracker based on this online appearance model maintaining technique has been tested on people and car tracking tasks and promising experimental results are obtained.

Citation Download Citation

Siying Chen, Tian Lan, Jianyu Wang, and Guoqiang Ni "Online maintaining appearance model using particle filter", Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68331Y (29 November 2007); https://doi.org/10.1117/12.755272

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
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Particles

Particle filters

Motion models

Feature selection

Detection and tracking algorithms

Associative arrays

Statistical modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years