My research interests include computer vision and machine learning. More specifically I am interested in articulated object tracking,
part based object detection and recognition and online/adaptive learning for tracking.
Visual Tracking with Integral Histograms and Articulating Blocks
This paper proposes an algorithm for accurate tracking of (articulated) objects using online update of appearance and
shape. In this algorithm, the constantly changing foreground shape is modeled as a small number of rectangular
blocks, whose positions within the tracking window are adaptively determined. We show that robust object tracking is possible by adaptively adjusting the locations
of these blocks. Implemented in MATLAB, our tracker runs already at 3.7 frames
per second on a 3GHz machine and the algorithm is able to efficiently track
articulated objects undergoing large variation in appearance and shape.