To overcome the weakobject feature description ability of existing human tracking methods in infrared images, a PHOG-based human tracking algorithm is designed.
Aiming at the problem of weakobject detection with complex background, a detection algorithm based on composite RBF network and chaotic theory is presented in this paper.