Muhammad Asad Ali

 

PhD Candidate

Sato Lab, Institute of Industrial Science 

Department of Information and Communication Engineering

Graduate School of Information Science and Technology

The University of Tokyo

 

Email:       asad [at] iis [dot] u-tokyo [dot] ac [dot] jp

Mobile #: +81-80-3936-1982

 

Mathworks: http://www.mathworks.com/matlabcentral/fileexchange/authors/26208

YouTube:    http://www.youtube.com/user/aasad82

Education Publications Thesis Awards
Research Interests



Education                                                                                                                                                                         Back to Top

 

PhD Candidate                                                  University of Tokyo                                                                                            2010 - 

MS       Computer System Engineering               GIK Institute of Engineering Sciences & Technology                                             2006

BE        Software Engineering                            Army Public College of Management & Sciences                                                  2004

 

Publications                                                                                                                                                              Back to Top

Book Chapter

Journal

Conference (selected listing)       

        Topic: Content Authentication of Medical Images

        Topic: Depth Map Hiding for 3D Cameras: Self Embedding in Images

        Topic: Affine Invariant Features for Object Recognition

        Topic: Driving Assistance on Highways using Monocular Vision

        Topic: Content Based Image Retrieval

Thesis                                                                      Back to Top

MS

              Description:    Objective was to perform viewpoint independent matching of objects in an image by extracting features that can resist perspective deformations.  

BE

        

              Description:     Objective was to assist drivers on highways by keeping track of lane changes, vehicles in front

                                      and road turns thus equipping drivers with pre-crash sensing tools using monocular vision.            

              

              YouTube Videos of Different Modules of Project: [Project Videos on YouTube Combined Link]

                                           "Vehicle Detection and Tracking 1"   

                                           "Vehicle Detection and Tracking 2"

                                           "Vehicle Lane Change Detection"

Awards                                                                                                             Back to Top

Research Interests                                                          Back to Top

  • Invariant feature extraction for pose independent object recognition

  • Vision based Intelligent transportation systems

  • Autonomous Navigation

  • Image Segmentation

  • Robotics

  • Spectral Clustering

  • Reversible Data Hiding


Other Activities                                                                       Back to Top