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Hulya Yalcin
Postdoctoral Fellow

No longer a member of RI.

For more information, see my personal homepage.

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I received my Ph.D. from Division of Engineering, Brown University. I am currently a postdoc at Robotics Institute in Carnegie Mellon University.

My research background is in computer vision area. I've done extensive research in segmentation, shape modelling, real-time imaging, implicit polynomials and motion and appearance estimation. I am primarily interested in computer vision and image/signal processing including real-time systems, machine learning and pattern recognition, motion estimation, human tracking, surveillance applications and medical imaging. Currently, I am working on tracking moving vehicles in airborne image sequences.

computer vision, machine learning, medical imaging, object recognition, and visual tracking

• People Image Analysis Consortium - The People Image Analysis (PIA) Consortium develops and distributes technologies that process images and videos to detect, track, and understand peoples' faces, bodies, and activities.
• Vision and Mobile Robotics Lab - Our group studies fundamental problems of Computer Vision and ground mobile robotics.

• Video Verification of Identity - We address the problem of tracking object in video sequences and of recognizing the tracked objects in subsequent sequences.

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• A Flow-Based Approach to Vehicle Detection and Background Mosaicking in Airborne Video
  H. Yalcin, R. Collins, M. Hebert, and M.J. Black
  Video Proceedings in conjunction with CVPR'05, June, 2005. [Abstract]
  Download: pdf [42 KB] copyrighted

• Background Estimation under Rapid Gain Change in Thermal Imagery
  H. Yalcin, R. Collins, and M. Hebert
  Second IEEE Workshop on Object Tracking and Classification in and Beyond the Visible Spectrum (OTCBVS'05), June, 2005. [Abstract]
  Download: pdf [807 KB] copyrighted

• A flow-based approach to vehicle detection and background mosaicking in airborne video.
  H. Yalcin, R. Collins, M. Black, and M. Hebert
  tech. report CMU-RI-TR-05-11, Robotics Institute, Carnegie Mellon University, March, 2005. [Abstract]
  Download: pdf [495 KB] copyrighted