Data Association for Multi-Object Visual Tracking

Margrit Betke is a Professor of Computer Science at Boston University, where she co-leads the Image and Video Computing Research Group. She earned her Ph.D. degree in Computer Science and Electrical Engineering at the Massachusetts Institute of Technology in 1995. She conducts research in computer vision, in particular, the development of methods for detection, segmentation, registration, and tracking of objects invisible-light, infrared, and x-ray image data. She has worked on gesture, vehicle, and animal tracking, video-based human-computer interfaces, statistical object recognition, and medical imaging analysis. Prof. Betke has co-invented the ""Camera Mouse,"" an assistive technology used worldwide by children and adults with severe motion impairments. She co-developed the first patented algorithms for detecting and measuring pulmonary nodule growth in computed tomography. She recently led a six-year research program to develop intelligent tracking systems that reason about group behavior of people, bats, birds, and cells. She has published over 140 original research papers.Zheng Wu is a Senior Computer Vision Engineer at The Mathworks, Inc., in Natick, Massachusetts, which is the producer of the widely used computing environment MATLAB. Before joining Mathworks, Dr. Wu was a postdoctoral associate in the Department of Computer Science at Boston University, where he earned his Ph.D. degree in 2012. He was a member of the Image and Video Computing research group at Boston University, working with Profs. Margrit Betke and Stan Sclaroff and their team of students. Dr. Wus general research interests include computer vision, machine learning, and combinatorial algorithms. In his work, he has focused on object segmentation, detection, and tracking, and has published over 20 original papers on these topics.

• Preface.- An Introduction to Data Association in Computer Vision.- Classic Sequential Data Association Approaches.- Classic Batch Data Association Approaches.- Evaluation Criteria.- Tracking with Multiple Cameras.- The Tracklet Linking Approach.- Advanced Techniques for Data Association.- Application to Animal Group Tracking in 3D.- Benchmarks for Human Tracking.- Concluding Remarks.- Bibliography.- Authors' Biographies .