Optical flow object detection, motion estimation, and tracking on moving vehicles using wavelet decompositions

Michael P. Dessauer; Sumeet Dua

doi:10.1117/12.853281

7 May 2010 Optical flow object detection, motion estimation, and tracking on moving vehicles using wavelet decompositions

Michael P. Dessauer, Sumeet Dua

Author Affiliations +

Proceedings Volume 7694, Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR; 76941J (2010) https://doi.org/10.1117/12.853281
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Optical flow-based tracking methods offer the promise of precise, accurate, and reliable analysis of motion, but they suffer from several challenges such as elimination of background movement, estimation of flow velocity, and optimal feature selection. Wavelet approximations can offer similar benefits and retain spatial information at coarser scales, while optical flow estimation increases with the reduction of finer details of moving objects. Optical flow methods often suffer from significant computational overload. In this study, we have investigated the necessary processing steps to increase detection and estimation accuracy, while effectively reducing computation time through the reduction of the image frame size. We have implemented an object tracking algorithm using the optical flow calculated from a phase change between representative coarse wavelet coefficients in subsequent image frames. We have also compared phasebased optical flow with two versions of intensity-based optical flow to determine which method produces superior results under specific operational conditions. The investigation demonstrates the feasibility of using phase-based optical flow with wavelet approximations for object detection and tracking of low resolution aerial vehicles. We also demonstrate that this method can work in tandem with feature-based tracking methods to increase tracking accuracy.

Citation Download Citation

Michael P. Dessauer and Sumeet Dua "Optical flow object detection, motion estimation, and tracking on moving vehicles using wavelet decompositions", Proc. SPIE 7694, Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR, 76941J (7 May 2010); https://doi.org/10.1117/12.853281

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