Context-aware tracking of small targets in video

Jialue Fan; Jiang Xu; Ying Wu

doi:10.1117/12.826353

1 September 2009 Context-aware tracking of small targets in video

Jialue Fan, Jiang Xu, Ying Wu

Proceedings Volume 7445, Signal and Data Processing of Small Targets 2009; 744508 (2009) https://doi.org/10.1117/12.826353
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

Abstract

Video-based tracking of small targets in a dense environment of clutter is very difficult, because the image resolution of the target is too low to provide reliable information for matching, and in turn the clutter generates a large number of false positive matches and distractions. Most traditional methods attempt to oppose the target to the environment, and are thus confronted in handling the enormous distractions. In fact, a target is rarely isolated and independent to the environment, e.g., when persistent disturbances are present in the vicinity of the target. Therefore, there may exist some objects that exhibit short-term or even longer-term motion correlation to the target. They constitute a very useful spatial contexts of the target. Thus, taking the advantage of the contextual information in an efficient way can improve the robustness of target tracking, as the spatial contexts provide extra constraints in target matching and additional verification in data association. This paper presents a new approach of context-aware tracking for small targets, in which a set of motion-correlated auxiliary objects are automatically discovered on-the-fly. The image region of one such auxiliary object generates a specific spatial context of the target, and leads to an individual contextual constraint to the motion of the target. Under the small motion assumption on two consecutive frames, these individual contextual constraints have linear forms. The collection of all such individual contextual constraints gives a contextual system, based on which the target motion can be accurately estimated so that the association of the target over consecutive image frames can be reliably constructed. This new approach is computationally efficient. Extensive experiments on real test video sequences show the effectiveness and efficiency of the proposed approach.

Citation Download Citation

Jialue Fan, Jiang Xu, and Ying Wu "Context-aware tracking of small targets in video", Proc. SPIE 7445, Signal and Data Processing of Small Targets 2009, 744508 (1 September 2009); https://doi.org/10.1117/12.826353

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