A recurrent velocity filter for detecting large numbers of moving objects

R. Porter; A. Fraser; R. Loveland; E. Rosten

doi:10.1117/12.778505

16 April 2008 A recurrent velocity filter for detecting large numbers of moving objects

R. Porter, A. Fraser, R. Loveland, E. Rosten

Proceedings Volume 6969, Signal and Data Processing of Small Targets 2008; 69690C (2008) https://doi.org/10.1117/12.778505
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

We present a method for detecting a large number of moving targets, such as cars and people, in geographically referenced video. The problem is difficult, due to the large and variable number of targets which enter and leave the field of view, and due to imperfect geo-projection and registration. In our method, we assume feature extraction produces a collection of candidate locations (points in 2D space) for each frame. Some of these locations are real objects, but many are false alarms. Typical feature extraction might be frame differencing, or target recognition. For each candidate location, and at each time step, our algorithm outputs a velocity estimate and confidence which can be thresholded to detect objects with constant velocity. In this paper we derive the algorithm, investigate the free parameters, and compare its performance to a multi-target tracking algorithm.

Citation Download Citation

R. Porter, A. Fraser, R. Loveland, and E. Rosten "A recurrent velocity filter for detecting large numbers of moving objects", Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69690C (16 April 2008); https://doi.org/10.1117/12.778505

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