In this paper we present an intelligent system, Dyta (Dynamic Target Analysis), for moving target detection. Dyta consists of two levels of processes. At the first level it attempts to identify possible moving objects and compute the texture feature of the moving objects. At the second level, Dyta inputs the texture features of each moving object to a fuzzy intelligent system to produce the probability of moving targets. The three major algorithms of Dyta, moving target tracking algorithm, Gabor multi-channel filtering, fuzzy learning and inference, are present in the paper. We have conducted extensive experiments on the Dyta system using images captured in outdoor environments. The experiment results and the performance analysis are presented in the paper.