Identification of human activities in a thermal system with noise varied in temporal frequency


The ability of observers to identify human activities in noise is expected to differ from performance with static targets in noise due to the unmasking that is provided by target motion. At a minimum, the probability of identification should increase when the temporal bandwidth of the noise is less than that of the system. Results from a human activities identification experiment are presented in this paper, along with results from a moving character experiment that is intended to provide better understanding of basic motion in noise with varied temporal bandwidth. These results along with further experiments and analysis will eventually be used to improve performance predictions derived from the Targeting Task Performance (TTP) metric. © 2011 SPIE.

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering