CS 378: Autonomous Intelligent Roboticsjsinapov/teaching/cs378/slides/18_Computer_V… · Homework...
Transcript of CS 378: Autonomous Intelligent Roboticsjsinapov/teaching/cs378/slides/18_Computer_V… · Homework...
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CS 378: Autonomous Intelligent Robotics
Instructor: Jivko Sinapovhttp://www.cs.utexas.edu/~jsinapov/teaching/cs378/
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Computer Vision: Motion
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Announcements
• Homework 5 due today
• Homework 6 out today (due 4/5)
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Announcements
Volunteers needed for another study!
As before, there will be extra credit
To sign up, email:
– Rodolfo Rodriguez <[email protected]>
– Jesse Thomason <[email protected]>
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Final Project Timeline
• Project Proposal due: Mar. 29th Apr. 1st
• Project Presentations / Demos: Last Week of Class (May 3rd and 5th)
• Final Report due: May 11th
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Project Proposal Guidelines
• Work in groups of 2-3 (it's OK to work on your own if you really want to)
• Preferably, team up with people with different skills than yours
• Purpose of the proposal is to give you an outline / roadmap
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Project Proposal Guidelines
• Each proposal should be about 2-3 pages
• Each proposal should include:– What is the application / task / problem?– Any previous experience you may have in that area– What do you expect to achieve by the end of the
semester?– How do you plan to evaluate whether it works or not?
– A timeline / schedule of progress and milestones
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Project Proposal Guidelines
• Organization: your proposal should have sections and headings (don't just submit one long essay)
• For example:– Introduction / problem formulation
– Proposed approach / software
– Proposed evaluation
– Summary of anticipated end result
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Project Ideas
Help the robot “see” something it currently cannot
Help the robot “hear” something (e.g., the elevator sound)
Help the robot “do” something (e.g., follow a person)
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Final Project Timeline
The most important thing is to start early, and discuss your ideas with the TA, mentors and myself. We'll point you to a starting point, describe functionality that already exists, and help refine your ideas.
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The rest of the semester...
• 3D Vision – processing point-cloud data from the kinect
• Multiple ways to control the robot:– Low-level velocity commands
– 2D navigation goals
– High-level logical goals (e.g., “go to room 3.414”)
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Sending 2D Navigation Goals
• During the training session, you sent 2D navigation goals to the robot using the rviz GUI
• Now, let's see how we can do the same from code
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Installing our code base
• Github page:– https://github.com/utexas-bwi/bwi
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2D Goal Example
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Computer Vision: Motion
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What is this?
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What is this?
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A. F. Bobick and J.W. Davis
``An appearance-based representation of action''.
In Proceedings of IEEE International Conference on Pattern Recognition
1996, August 1996, pp. 307-312.
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A. Davis, J. and A. Bobick
``The Representation and Recognition of Action Using
Temporal Templates'',
In Proceedings of IEEE Conference on Computer Vision and Pattern
Recognition, June 1997, pp. 928-934.
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What action is being performed?
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Motion Energy Image (MEI)
[http://www.cse.ohio-state.edu/~jwdavis/CVL/Research/MHI/mhi.html]
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Average MEI for various viewing angles
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Motion History Image (MHI)
[http://www.cse.ohio-state.edu/~jwdavis/CVL/Research/MHI/mhi.html]
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Definitions
• Image Sequence
• Binary Images
indicating regions of motion
• Binary Motion Energy Image
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Motion Energy
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Motion History
The result: more recently moving pixels appear brighter
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[http://www.cse.ohio-state.edu/~jwdavis/CVL/Research/MHI/mhi.html]
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MHI pyramid
[http://www.cse.ohio-state.edu/~jwdavis/CVL/Research/MHI/mhi.html]
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Motion templates for finishing LEFT-ARM-RAISE and FAN-UP-ARMS.
[http://www.cse.ohio-state.edu/~jwdavis/CVL/Research/VirtualAerobics/aerobics.html]
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Aerobics Dataset
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Video
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A. Bobick, S. Intille, J. Davis, F. Baird, C. Pinhanez, L. Campbell, Y. Ivanov,
A. Schutte, and A. Wilson (1999)
``The Kidsroom: A Perceptually-Based Interactive and Immersive
Story Environment"
Presence: Teleoperators and Virtual Environments, Vol. 8, No. 4, 1999,
pp. 367-391.
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The Kid’s Room
[Bobick et al. 1996]
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The Blue Monster
[http://vismod.media.mit.edu/vismod/demos/kidsroom/kidsroom.html]
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The Technology
[http://vismod.media.mit.edu/vismod/demos/kidsroom/kidsroom.html]
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Motion History Templates
Making a ‘Y’ Flapping Spinning
[http://vismod.media.mit.edu/vismod/demos/kidsroom/kidsroom.html]
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Detecting the Bed
[http://vismod.media.mit.edu/vismod/demos/kidsroom/kidsroom.html]
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Man Overboard Detector
[http://vismod.media.mit.edu/vismod/demos/kidsroom/kidsroom.html]
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Motion History Code Example
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OpenCV Book and Code
• “Learning OpenCV”
• Code from book is on github:https://github.com/Itseez/opencv_extra/tree/master/learning_opencv_v2
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OpenCV Tutorials
• Connected Components:– http://nghiaho.com/?p=1102
– https://davidlavy.wordpress.com/opencv/connected-components-in-opencv/
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OpenCV Tutorials
• Circle Detection:– http://docs.opencv.org/3.1.0/d4/d70/tutorial_
hough_circle.html#gsc.tab=0
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OpenCV Tutorials
• Face Detection:
– http://stackoverflow.com/questions/20757147/detect-faces-in-image
– https://github.com/Itseez/opencv_extra/blob/master/learning_opencv_v2/ch13_ex13_4.cpp
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OpenCV Tutorials
• Blog full of OpenCV examples:– http://opencvexamples.blogspot.com/
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Resources
• OpenCV in ROS:– http://wiki.ros.org/vision_opencv
– http://wiki.ros.org/cv_bridge/Tutorials
– http://docs.opencv.org/2.4/doc/tutorials/tutorials.html
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Next time...3D Vision
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Homework 6
Part 1: Color Detection – given a color image, detect the location of the pink hat
Part 2: One the hat has been detected, turn the robot in the direction of the hat
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Homework 6
Part 1 can be completed off-line: I have recorded 3 .bag files containing sequences of images in which the pink hat appears
To demonstrate your solution, your code should draw a circle around the hat in each frame
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Homework 6
Once you have completed Part 1, you will have to use the example from today to turn the robot in the direction of the hat (i.e., left or right).
The angle of turning should be larger if the hat is further to the left/right
Because we're working in 2D, you will not be able to compute the exact desired angle; instead, use a heuristic
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THE END
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