Haiyong Zhao

Learn More
—This paper presents a new method of human activity recognition, which is based on ℜ transform and dynamic time warping (DTW) after the key frame is extracted from a cycle. For a key binary human silhouette, ℜ transform is employed to represent low-level features. The advantage of the ℜ transform lies in its low computational complexity and geometric(More)
—This paper presents a new classification method for single subject's motion. We employ ℜ transform descriptor and Linear-chain Conditional Random Fields for representation and classification. What it solves is that global features are described and adjacent states are independent. We extract binary silhouettes from a video sequence and segment them into(More)
  • 1