Corpus ID: 7263887

Surveillance Camera Autocalibration based on Pedestrian Height Distributions

@inproceedings{Liu2011SurveillanceCA,
  title={Surveillance Camera Autocalibration based on Pedestrian Height Distributions},
  author={Jingchen Liu and Robert T. Collins and Yanxi Liu},
  year={2011}
}
We propose a new framework for automatic surveillance camera calibration by observing videos of pedestrians walking through the scene. Unlike existing methods that require accurate pedestrian detection and tracking, our method takes noisy foreground masks as input and automatically estimates the necessary intrinsic and extrinsic camera parameters using prior knowledge about the distribution of relative human heights. Our algorithm is computationally efficient enough for online parameter… Expand

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References

SHOWING 1-10 OF 17 REFERENCES
Trajectory Rectification and Path Modeling for Video Surveillance
TLDR
A novel linear solution to auto-calibrate any camera observing pedestrians and to use these calibrated cameras to detect unusual object behavior and test the proposed method on synthetic as well as on real-world pedestrian sequences. Expand
Simultaneous surveillance camera calibration and foot-head homology estimation from human detections
  • B. Micusík, T. Pajdla
  • Computer Science
  • 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  • 2010
TLDR
It is demonstrated that human body can be considered as a calibration target thus avoiding special calibration objects or manually established fiducial points, and a new constraint is derived which allows the calibration of internal and external camera parameters as a Quadratic Eigenvalue Problem. Expand
Bayesian autocalibration for surveillance
TLDR
A method for camera autocalibration based on information gathered by tracking people is developed and a Bayesian solution to the calibration problem is presented that can elegantly handle measurement uncertainties, outliers, as well as prior information. Expand
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 byExpand
What Can Casual Walkers Tell Us About The 3 D Scene
An approach for incremental learning of the 3D scene from a single static video camera is presented in this paper. In particular, we exploit the presence of casual people walking in the scene toExpand
Crowd Detection with a Multiview Sampler
TLDR
A set of novel proposals that leverage multiview geometry to propose global moves that jump more efficiently between modes of the posterior distribution of a posterior distribution for detecting and counting people in crowds are developed. Expand
Combining scene and auto-calibration constraints
TLDR
A simple approach to combining scene and auto-calibration constraints for the calibration of cameras from single views and stereo pairs and examples of various cases of constraint combination and degeneracy as well as computational techniques are presented. Expand
The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields
TLDR
A framework based on robust estimation is presented that addresses violations of the brightness constancy and spatial smoothness assumptions caused by multiple motions of optical flow, and is applied to standard formulations of the optical flow problem thus reducing their sensitivity to violations of their underlying assumptions. Expand
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
TLDR
New results are derived on the minimum number of landmarks needed to obtain a solution, and algorithms are presented for computing these minimum-landmark solutions in closed form that provide the basis for an automatic system that can solve the Location Determination Problem under difficult viewing. Expand
Single View Metrology
TLDR
An algebraic representation is developed which unifies the three types of measurement and permits a first order error propagation analysis to be performed, associating an uncertainty with each measurement. Expand
...
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