Difference between revisions of "High Speed Vision System and Object Tracking"

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=Calibrating the High Speed Camera=
=Calibrating the High Speed Camera=
Before data can be collected from the HSV system, it is critical that the high speed camera be properly calibrated. [[Image:Distorted_calibration_grid.jpg]]
Before data can be collected from the HSV system, it is critical that the high speed camera be properly calibrated. In order to obtain accurate data, there is a series of intrinsic and extrinsic parameters that need to be taken into account. Intrinsic parameters include image distortion due to the camera itself, as shown in Figure 1. Extrinsic parameters account for any factors that are external to the camera. These include the orientation of the camera relative to the calibration grid as well as any scalar and translational factors. [[image:Distorted_calibration_grid.jpg|thumb|200px|'''Figure 1:''' Calibration grid with distortion.|right]]
==For Tracking Objects in 2D==
==For Tracking Objects in 2D==
==For Tracking Objects in 3D==
==For Tracking Objects in 3D==

Revision as of 11:54, 6 June 2009

Last modified 6 June, 2009

Calibrating the High Speed Camera

Before data can be collected from the HSV system, it is critical that the high speed camera be properly calibrated. In order to obtain accurate data, there is a series of intrinsic and extrinsic parameters that need to be taken into account. Intrinsic parameters include image distortion due to the camera itself, as shown in Figure 1. Extrinsic parameters account for any factors that are external to the camera. These include the orientation of the camera relative to the calibration grid as well as any scalar and translational factors.

Figure 1: Calibration grid with distortion.

For Tracking Objects in 2D

For Tracking Objects in 3D

Using the High Speed Vision System

Post-Processing of Data

Calculating the Position of an Object in 3D

Finding Maxes and Mins, Polyfits