Camera calibration from video of a walking human

A self-calibration method to estimate a camera's intrinsic and extrinsic parameters from vertical line segments of the same height is presented. An algorithm to obtain the needed line segments by detecting the head and feet positions of a walking human in his leg-crossing phases is described. E...

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Bibliographic Details
Published inIEEE transactions on pattern analysis and machine intelligence Vol. 28; no. 9; pp. 1513 - 1518
Main Authors Fengjun Lv, Tao Zhao, Nevatia, R.
Format Journal Article
LanguageEnglish
Published Los Alamitos, CA IEEE 01.09.2006
IEEE Computer Society
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Applied sciences
Artificial intelligence
Calibration
Camera calibration
Cameras
Computer science; control theory; systems
Equipment Failure Analysis - methods
Equipment Failure Analysis - standards
Exact sciences and technology
Head
Human
human tracking
Humans
Image Enhancement - instrumentation
Image Enhancement - methods
Image Enhancement - standards
Image Interpretation, Computer-Assisted - instrumentation
Image Interpretation, Computer-Assisted - methods
Image Interpretation, Computer-Assisted - standards
Image reconstruction
Intelligence
Layout
Legged locomotion
Parameter estimation
Pattern analysis
Pattern recognition. Digital image processing. Computational geometry
Phases
Photogrammetry - instrumentation
Photogrammetry - methods
Photogrammetry - standards
Reproducibility of Results
Robustness
Segments
self-calibration
Sensitivity and Specificity
Tracking
vanishing line
vanishing point
Video Recording - instrumentation
Video Recording - methods
Video Recording - standards
Walking
Walking - physiology
Legged locomotion
vanishing point
Camera calibration
vanishing line
Selfcalibration
Focal length
human tracking
self-calibration
Video cameras
Pattern analysis
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Summary:A self-calibration method to estimate a camera's intrinsic and extrinsic parameters from vertical line segments of the same height is presented. An algorithm to obtain the needed line segments by detecting the head and feet positions of a walking human in his leg-crossing phases is described. Experimental results show that the method is accurate and robust with respect to various viewing angles and subjects
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ISSN:0162-8828
2160-9292
1939-3539
DOI:10.1109/TPAMI.2006.178