Lecture 13

• Hw4

• HEADPHONES for next class (and microphone if you have one)

Computer Vision Basics:

• Basic motion detection with Jitter, via frame differencing
  • Is there motion? How much?
• Locating motion:
  • Jitter tutorial 25 - Color Tracking
  • Laser track
  • Region Masking
  • Motion region - jit.submatrix to basic motion detection
• Motion analysis
  • cv.jit: vision objects - (no 64bit support yet)
  • in Max menus see: Extras -> cv.jit object guide
  • framesub, sum
  • blobs:
    • bounds, centroids, color, direction, elongation, orientation
    • labeling: cv.jit.label.help
    • floodfill
  • tracking:
    • points, features
    • faces
    • snakes
    • shift, touches (regions)
  • Background Subtraction: ravg, mean
  • clean up: binary image, binary edge, erode, dilate, open, close
  • Shape Description - Mass, Centroids, Orientation, Perimeter, Compactness, H/W, bounding box, density, circularity, direction
  • Shape Recognition: learn, undergrad
  • Statistics - mean, variance, stddev /// * Motion direction / acceleration: cv.jit.LKflow.help, cv.jit.HSflow
• Misc: examples/jitter-examples/video
  • misc/jit.lcd-ascii-art

• Jitter eye tracker

• OpenCV