Focus-of-attention for human activity recognition from UAVs

G. J. Burghouts; A. W. M. van Eekeren; J. Dijk

doi:10.1117/12.2067569

7 October 2014 Focus-of-attention for human activity recognition from UAVs

G. J. Burghouts, A. W. M. van Eekeren, J. Dijk

Proceedings Volume 9249, Electro-Optical and Infrared Systems: Technology and Applications XI; 92490T (2014) https://doi.org/10.1117/12.2067569
Event: SPIE Security + Defence, 2014, Amsterdam, Netherlands

Abstract

This paper presents a system to extract metadata about human activities from full-motion video recorded from a UAV. The pipeline consists of these components: tracking, motion features, representation of the tracks in terms of their motion features, and classification of each track as one of the human activities of interest. We consider these activities: walk, run, throw, dig, wave. Our contribution is that we show how a robust system can be constructed for human activity recognition from UAVs, and that focus-of-attention is needed. We find that tracking and human detection are essential for robust human activity recognition from UAVs. Without tracking, the human activity recognition deteriorates. The combination of tracking and human detection is needed to focus the attention on the relevant tracks. The best performing system includes tracking, human detection and a per-track analysis of the five human activities. This system achieves an average accuracy of 93%. A graphical user interface is proposed to aid the operator or analyst during the task of retrieving the relevant parts of video that contain particular human activities. Our demo is available on YouTube.

Citation Download Citation

G. J. Burghouts, A. W. M. van Eekeren, and J. Dijk "Focus-of-attention for human activity recognition from UAVs", Proc. SPIE 9249, Electro-Optical and Infrared Systems: Technology and Applications XI, 92490T (7 October 2014); https://doi.org/10.1117/12.2067569

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