Integration of segmentation information and correlation technique for tracking objects in sequences of images

Huw S. Parry; A. David Marshall; Keith C. Markham

doi:10.1117/12.220902

13 September 1995 Integration of segmentation information and correlation technique for tracking objects in sequences of images

Huw S. Parry, A. David Marshall, Keith C. Markham

Author Affiliations +

Proceedings Volume 2598, Videometrics IV; (1995) https://doi.org/10.1117/12.220902
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

This paper deals with the problem of tracking object points from a sequence of image frames for the purpose of navigation, e.g. guiding a missile onto a target from an on-board camera. Image points may be tracked over a sequence of frames by a conventional correlation algorithm. By tracking several points, the motion parameters of the camera may be estimated. However, the presence of noise and the magnification of image features as the camera approaches the target may cause a tracked point to drift. This paper introduces an improved technique that integrates a multiple point correlation (MPC) tracker with image segmentation information to track image points with greater accuracy. Segmentation is the process of partitioning image pixels into regions, for example, of homogeneous grey values. Based on the resulting region characteristics, our method refines the point positions of the MPC tracker. At each frame the MPC is applied to the original image data. The location of each point given by the MPC tracker is used to identify the region in the segmented image that occupies that position. The tracked point is refined based on measurements made of the region. This paper details two region based refinement techniques used to improve tracking: one uses the centroid and the other uses corner points detected on a region's boundary. Experimental results based on real and synthetic images in both the infrared and visible spectrums shows the potential that this type of integration has for enhancing tracker performance.

Citation Download Citation

Huw S. Parry, A. David Marshall, and Keith C. Markham "Integration of segmentation information and correlation technique for tracking objects in sequences of images", Proc. SPIE 2598, Videometrics IV, (13 September 1995); https://doi.org/10.1117/12.220902

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