Model-based 3-D object tracking using projective invariance

Sung Woo Lee; Bum Jae You; Gregory D. Hager

Model-based 3-D object tracking using projective invariance

Sung Woo Lee, Bum Jae You, Gregory D. Hager

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper describes a method of three-dimensional object tracking by projective invariance. Usually, projective invariance has been used for object recognition and its property discards the need for cumbersome camera calibration to obtain metric information. We focus on the fact the projective invariance is not only regarded as recognition cues but also able to verify the status of a 3-D object for visual tracking. With projective invariance relevant to points, we develop a fast and reliable visual tracking strategy by combining a recognition module using projective invariance, window-based corner trackers for object's corner tracking and a visibility checking module. The proposed method is experimented in single IBM-PC platform successfully.

Original language	English (US)
Pages (from-to)	1589-1594
Number of pages	6
Journal	Proceedings - IEEE International Conference on Robotics and Automation
Volume	2
State	Published - Jan 1 1999
Externally published	Yes
Event	Proceedings of the 1999 IEEE International Conference on Robotics and Automation, ICRA99 - Detroit, MI, USA Duration: May 10 1999 → May 15 1999

ASJC Scopus subject areas

Software
Control and Systems Engineering
Artificial Intelligence
Electrical and Electronic Engineering

Cite this

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title = "Model-based 3-D object tracking using projective invariance",

abstract = "This paper describes a method of three-dimensional object tracking by projective invariance. Usually, projective invariance has been used for object recognition and its property discards the need for cumbersome camera calibration to obtain metric information. We focus on the fact the projective invariance is not only regarded as recognition cues but also able to verify the status of a 3-D object for visual tracking. With projective invariance relevant to points, we develop a fast and reliable visual tracking strategy by combining a recognition module using projective invariance, window-based corner trackers for object's corner tracking and a visibility checking module. The proposed method is experimented in single IBM-PC platform successfully.",

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year = "1999",

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journal = "Proceedings - IEEE International Conference on Robotics and Automation",

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note = "Proceedings of the 1999 IEEE International Conference on Robotics and Automation, ICRA99 ; Conference date: 10-05-1999 Through 15-05-1999",

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AU - Lee, Sung Woo

AU - You, Bum Jae

AU - Hager, Gregory D.

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N2 - This paper describes a method of three-dimensional object tracking by projective invariance. Usually, projective invariance has been used for object recognition and its property discards the need for cumbersome camera calibration to obtain metric information. We focus on the fact the projective invariance is not only regarded as recognition cues but also able to verify the status of a 3-D object for visual tracking. With projective invariance relevant to points, we develop a fast and reliable visual tracking strategy by combining a recognition module using projective invariance, window-based corner trackers for object's corner tracking and a visibility checking module. The proposed method is experimented in single IBM-PC platform successfully.

AB - This paper describes a method of three-dimensional object tracking by projective invariance. Usually, projective invariance has been used for object recognition and its property discards the need for cumbersome camera calibration to obtain metric information. We focus on the fact the projective invariance is not only regarded as recognition cues but also able to verify the status of a 3-D object for visual tracking. With projective invariance relevant to points, we develop a fast and reliable visual tracking strategy by combining a recognition module using projective invariance, window-based corner trackers for object's corner tracking and a visibility checking module. The proposed method is experimented in single IBM-PC platform successfully.

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M3 - Conference article

AN - SCOPUS:0032661327

SN - 1050-4729

VL - 2

SP - 1589

EP - 1594

JO - Proceedings - IEEE International Conference on Robotics and Automation

JF - Proceedings - IEEE International Conference on Robotics and Automation

T2 - Proceedings of the 1999 IEEE International Conference on Robotics and Automation, ICRA99

Y2 - 10 May 1999 through 15 May 1999

ER -

Model-based 3-D object tracking using projective invariance

Abstract

ASJC Scopus subject areas

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