Cited by 1,066Video Surveillance and Tracking MethodsAdvanced Vision and ImagingAutonomous Vehicle Technology and Safety

Efficient region tracking with parametric models of geometry and illumination

Hager, G.D., Belhumeur, P.N.·1998·IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract

As an object moves through the field of view of a camera, the images of the object may change dramatically. This is not simply due to the translation of the object across the image plane; complications arise due to the fact that the object undergoes changes in pose relative to the viewing camera, in illumination relative to light sources, and may even become partially or fully occluded. We develop an efficient general framework for object tracking, which addresses each of these complications. We first develop a computationally efficient method for handling the geometric distortions produced by changes in pose. We then combine geometry and illumination into an algorithm that tracks large image regions using no more computation than would be required to track with no accommodation for illumination changes. Finally, we augment these methods with techniques from robust statistics and treat occluded regions on the object as statistical outliers. Experimental results are given to demonstrate the effectiveness of our methods.

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Crossref · 10.1109/34.722606

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Authors
Hager, G. D., & Belhumeur, P. N.
Affiliations
Yale University (US)
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
1998
Volume
20
Issue
10
Pages
1025-1039
ISSN
0162-8828 (ISSN-L)
OpenAlex
W2103876808
Cited by
1,066
References
44
Citations by year
2025: 2 · 2024: 3 · 2023: 4 · 2022: 1 · 2021: 8 · 2020: 7 · 2019: 15 · 2018: 24 · 2017: 22 · 2016: 31 · 2015: 42 · 2014: 47 · 2013: 46 · 2012: 50
FWCI
21.90
Type
journal article
Language
en
Open access
closed
Locations
IEEE Transactions on Pattern Analysis and Machine Intelligence (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
  • Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
Keywords
region tracking, object tracking, parametric models, geometric distortion, illumination variation, occlusion, robust statistics, outliers

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