Objectives

cv.jit is a collection of max/msp/jitter tools for computer vision applications. The goals of this project are to provide externals and abstractions to assist users in tasks such as image segmentation, shape and gesture recognition, motion tracking, etc. as well as to provide educational tools that outline the basics of computer vision techniques.

Tools

Take a look here, for a list of objects currently available.

Last update: version 1.7.2 on 2010-10-13

Statistics
cv.jit.mean	Calculates the mean value of a matrix over time.
cv.jit.ravg	Calculates the running average of a matrix over time.
cv.jit.sum	Sums all the pixels in a plane, works for any type/dim.
cv.jit.variance	Estimates the variance of a matrix over time.
cv.jit.stddev	Estimates the standard deviation of a matrix over time.
Motion Analysis
cv.jit.opticalflow	Estimates the optical flow using various algorithms.
cv.jit.LKflow	Estimates the optical flow using the Lucas-Kanade technique.
cv.jit.HSflow	Estimates the optical flow using the Horn-Schunk technique.
cv.jit.track	Track the position of up to 255 individual pixels.
cv.jit.features2track	Initialize cv.jit.track to easiest pixels to track.
cv.jit.framesub	Difference between consecutive frames.
cv.jit.shift	Region tracking using the MeanShift and CAMShift algorithms.
cv.jit.touches	Track multiple regions at a time. (Optimized for multi-touch interfaces.)
Binary Images
cv.jit.threshold	Adaptive thresholding.
cv.jit.canny	Extract binary edges from a greyscale image.
cv.jit.binedge	Returns only edge pixels.
cv.jit.dilate	Turns a pixel ON if at least one neighbour is ON.
cv.jit.erode	Removes the edge pixels from an image.
cv.jit.open	Erode followed by dilate.
cv.jit.close	Dilate followed by erode.
Image Segmentation
cv.jit.floodfill	Isolates a single connected component.
cv.jit.label	Gives each connected component a unique value.
cv.jit.blobs.bounds	Find bounding boxes for each connected component.
cv.jit.blobs.centroids	Find center of mass for each connected component.
cv.jit.blobs.direction	Find direction each connected component points to.
cv.jit.blobs.elongation	Calculate elongation for each connected component.
cv.jit.blobs.moments	Calculate moments of inertia for each connected component.
cv.jit.blobs.orientation	Measure angle of main axis for each connected component.
cv.jit.blobs.recon	Carry out pattern recognition on each connected components.
cv.jit.blobs.sort	Re-arrange labels so that each connected component keeps the same from frame to frame.
Shape Analysis
cv.jit.mass	Returns the number of non-zero pixels.
cv.jit.centroids	Calculates the center of mass for an image.
cv.jit.moments	Computes various invariant shape descriptors.
cv.jit.orientation	Calculates a shape’s main axis.
cv.jit.direction	Calculates the direction a shape points to.
cv.jit.perimeter	Counts the number of edge pixels.
cv.jit.elongation	Estimates how thin a shape is.
cv.jit.circularity	Estimates how compact a shape is.
cv.jit.undergrad	Performs simple pattern recognition.
cv.jit.learn	Performs pattern analyis and recognition on an incoming list.
cv.jit.faces	Finds human faces in an image.
cv.jit.features	Finds areas of high contrast, pixels that are easy to track.
cv.jit.lines	Finds straight lines.
cv.jit.hough	Compute Hough space. (by Christopher P. Baker and Mateusz Herczka.)
cv.jit.hough2lines	Find straight lines in Hough space.
cv.jit.snake	Fit a point sequence to image edges. *New in 1.6b2*
Miscelaneous
cv.jit.grab	Cross-platform wrapper for jit.qt.grab/jit.dx.grab.
cv.jit.changetype	Change the type of a matrix without changing other attributes.
cv.jit.resize	Anti-aliased matrix resize.
cv.jit.cartopol	Treats the data in two matrices as cartesian coordinates and translates to polar data.
cv.jit.poltocar	…and vice versa.
Drawing and display
cv.jit.track.draw	Visualize output of cv.jit.track.
cv.jit.lines.draw	Visualize output of cv.jit.lines.
cv.jit.features.draw	Visualize output of cv.jit.features.
cv.jit.faces.draw	Visualize output of cv.jit.faces.
cv.jit.centroids.draw	Visualize output of cv.jit.centroids.
cv.jit.blobs.orient.draw	Visualize output of cv.jit.blobs.orientation.
cv.jit.blobs.elongation.draw	Visualize output of cv.jit.blobs.elongation.
cv.jit.blobs.direction.draw	Visualize output of cv.jit.blobs.direction.
cv.jit.blobs.centroids.draw	Visualize output of cv.jit.blobs.centroids.
cv.jit.blobs.bounds.draw	Visualize output of cv.jit.blobs.bounds.
cv.jit.blobs.color	Visualize output of cv.jit.label.
cv.jit.shift.draw	Drawing utility for cv.jit.shift.
cv.jit.flow.draw	Display optical flow using hue and saturation.
cv.jit.touches.draw	Drawing utility for cv.jit.touches.
Obsolete objects
cv.jit.covariance	Computes the covariance matrix of a vector.
cv.jit.mahalanobis	Computes the Mahalanobis metric.
cv.jit.hmean	Calculates the harmonic mean over time.
cv.jit.gmean	Calculates the geometric mean over time.
cv.jit.trackpoints	Display utility for cv.jit.track.
cv.jit.trackgroup	Manager utility for cv.jit.track.
cv.jit.shapeinfo	Wrapper for cv.jit.moments.

Collapse object list.

Download

The latest version of cv.jit is 1.7 and can only be used with Max 5 or later.

Download cv.jit version 1.7.2. for OSX (Universal Binary). Updated on 2010.10.13
Download cv.jit version 1.7.2 for Windows. Updated on 2010.10.13

Older versions that support Max 4.6 and earlier:

Download cv.jit version 1.6.2 for OSX (Universal Binary).
Download cv.jit version 1.6.2 for Windows.

Legacy:

Download cv.jit for OS 9.

cv.jit is distributed according to the LGPL license.

Download the development files for OSX and Windows, including source and project files. You can also obtain the source code from the Subversion repository at the following address: https://cvjit.svn.sourceforge.net/svnroot/cvjit .

Requires jitter, available from Cycling ’74.

Contact

Please e-mail me your comments, suggestions, bug reports, etc. at jmp [at] jmpelletier.com

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cv.jit news

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Minor update to cv.jit

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Using cv.jit.touches: recycling index values

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cv.jit 1.7 is finally out!

The latest version of cv.jit, 1.7.0 is finally out. I say finally because, it’s been on the brim of release for several months now, but life being what it is, I only now managed to put the finishing touches on it. The most obvious change is that the help files have been completely re-written in [...]

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A Ruby script for generating Jitter attributes

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Objectives

Tools

Statistics

Motion Analysis

Binary Images

Image Segmentation

Shape Analysis

Miscelaneous

Drawing and display

Obsolete objects

Download

Contact

cv.jit news

A Simple Eye Tracker For Jitter

Minor update to cv.jit

Using cv.jit.touches: recycling index values

cv.jit 1.7 is finally out!

A Ruby script for generating Jitter attributes