Tutorial Description Legged locomotion can be pretty bumpy for any cameras mounted on the robot, which makes computer vision on these platforms more difficult. Using video captured from a Sony Aibo, we attempted to stabilize the image sequence by aligning each image with its predecessor(s). The left frame shows the "raw" video, and the right frame shows the "smoothed" video. Processing was done offline in Matlab. The white bar on the bottom of the right image indicates the robots turning speed. This was a final project for CMU 16-720 Computer Vision course, writeup can be found here: http://ethan.tira-thompson.com/stuff/stabilization/Presentation.pdf Software camera stabilization on a legged robot 2 - Video
Tutorial Description Tracking a translating bowl with a rotating camera using MATLAB Centroid Tracking Experiment 5 - Bowl Translation & Rotation - Video
Tutorial Description The foam object in this video is the simplist application of the capabilities of the Image and Video Processing available from MATLAB. Using SIMULINK modeling, I built a block and signal diagram which takes a webcam color video first converts and thresholds the image into a binary representation. My algorithm uses blob analysis and kalman filtering to calculate the objects centroid, estimated and predicted positions. Then I marked these positions on the original video. Object Tracking in MATLAB - Video
Tutorial Description Completed for Timothy Chang ECE 431 by George Cakiades and Christopher Hildebrand. Project description may be found at http://web.njit.edu/~gc28/furuta.html Furuta Pendulum MATLAB Simulink Ansim Simulation - Video
Tutorial Description This footage shows real Time face tracking using 2D correlation approach. Done in MATLAB R2008. For further discussions and source code feel free to post any comments or mail me.......enjoy! Real time face tracking in MATLAB - Video
Tutorial Description October 31, 2007 lecture by Randy Allen for the Stanford University Computer Systems Colloquium (EE 380). Some of the compiler optimization challenges presented by a naturally-interpreted, dynamic... The Challenges of Implementing Matlab® - Video
Tutorial Description October 31, 2007 lecture by Randy Allen for the Stanford University Computer Systems Colloquium (EE 380). Some of the compiler optimization challenges presented by a naturally-interpreted, dynamic... The Challenges of Implementing Matlab® - Video
Tutorial Description October 31, 2007 lecture by Randy Allen for the Stanford University Computer Systems Colloquium (EE 380). Some of the compiler optimization challenges presented by a naturally-interpreted, dynamic... The Challenges of Implementing Matlab® - Video
Tutorial Description This footage shows real Time face tracking using 2D correlation approach. Done in MATLAB R2008. For further discussions and source code feel free to post any comments or mail me.......enjoy! Real time face tracking in MATLAB - Video
Tutorial Description October 31, 2007 lecture by Randy Allen for the Stanford University Computer Systems Colloquium (EE 380). Some of the compiler optimization challenges presented by a naturally-interpreted, dynamic... The Challenges of Implementing Matlab® - Video
Tutorial Description October 31, 2007 lecture by Randy Allen for the Stanford University Computer Systems Colloquium (EE 380). Some of the compiler optimization challenges presented by a naturally-interpreted, dynamic... The Challenges of Implementing Matlab® - Video
Tutorial Description October 31, 2007 lecture by Randy Allen for the Stanford University Computer Systems Colloquium (EE 380). Some of the compiler optimization challenges presented by a naturally-interpreted, dynamic... The Challenges of Implementing Matlab® - Video