A temporal and spatial filter algorithm is presented to detect Infrared(IR) weak point targets moving slowly in the scenarios with cloud clutter and noise. Firstly, IR image sequence is processed by the normalization preprocess. Secondly, a filter is used to process the image sequence in the temporal domain, and then a target enhancement algorithm is constructed to suppress the residual dots which are attributed to the cloud clutter and noise. Finally, the computer simulations are made to verify the performance of the presented algorithm, and the results confirmed its effectiveness.