Visual Human Intent Analysis Survey

摘要

Visual Human Intent Analysis (VHIA) is a growing field of research devoted to algorithms that categorize human behavior through input of visual image sequences. In VHIA, it is difficult to make an implementation framework that is robust enough to handle the many non-deterministic ways of human physical actions. This paper will survey several techniques currently used in VHIA including non-traditional artificial intelligence techniques, visual languages, statistical algorithms, and others. It will give the reader the background and understanding of how open this domain is to new algorithms; improving on the overall research in VHIA or similarly related problems.