Ali Hassan
Ali Hassan is a Research Assistant in Computer Vision Lab (cvlab ) at LUMS Syed Babar Ali School of Science and Engineering.
Research Interest
My main areas of interest are Computer Vision, Machine Learning and Robotics. I am primarily interested in Human Motion Analysis. I am currently working on “Human Body Pose Estimation from Monocular image(s)” with Dr. Murtaza Taj. More specifically, I’m interested in exploring different approaches for search space reduction, pose validation, and real time performance.
Resources
SVM Tutorial, HOG based Face Detection using SVM-Light in Matlab
Example results of my pose estimation algorithm
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Hello,
I am impressed with your concept and research about Human Body Pose Estimation. Since I have been working in a radiology department managing a team of computational engineers to maintain medical image data, I was wondering how this concept can be utilized for X ray images. This can be used to diagnose issues with bone degradation, fractures and could be used to detect sports injuries and any posture related issues while examining the body response of an active image stream, which currently is only static due to limitation of xray films.
Thanks,
Ebaad.
Some people have worked on stereo x-ray imaging. I would imagine that it would be challenging because of the need to find common features within the two views.
In this work, we are using a lot of images (video) from a single camera. That may not be possible with x-ray imaging.
Sohaib