The award will provide Yang, a computer scientist, with research funding of $473,797 over five years. Yang’s research will focus on developing computer algorithms that can efficiently and effectively empower machines with object tracking, detection and recognition capabilities similar to human cognition, all with the use of only a single camera.
“Professor Yang’s innovative and groundbreaking research into visual tracking is certainly deserving of this honor from the National Science Foundation,” said Dan Hirleman, Dean of Engineering at UC Merced. “The award represents a clear recognition and validation of the importance of this work.”
While humans can effortlessly locate moving objects in different environments, visual tracking remains one of the most important and challenging problems in computer vision. Yang’s algorithms would help machines handle scenarios in which the objects they are designed to track drift, disappear and reappear, or are obscured by other objects.
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