We present a new scheme to robustly detect a type of human attentive behavior, which we call frequent change in focus of attention (FCFA), from video sequences. FCFA behavior can b...
We present a computational approach to abnormal visual event detection, which is based on exploring and modeling local motion patterns in a non-linear subspace. We use motion vect...
We describe a new region descriptor and apply it to two problems, object detection and texture classification. The covariance of d-features, e.g., the three-dimensional color vecto...
This appendix proves the illumination robustness of the proposed corner detector over the Harris corner detector. I. HARRIS CORNER DETECTOR The Harris corner detector [1] is based...
Swarm testing is a novel and inexpensive way to improve the diversity of test cases generated during random testing. Increased diversity leads to improved coverage and fault detec...
Alex Groce, Chaoqiang Zhang, Eric Eide, Yang Chen,...