  We propose a state of the art method for intelligent object recognition and
video surveillance based on human visual attention. Bottom up and top down
attention are applied respectively in the process of acquiring interested
object(saliency map) and object recognition. The revision of 4 channel PFT
method is proposed for bottom up attention and enhances the speed and accuracy.
Inhibit of return (IOR) is applied in judging the sequence of saliency object
pop out. Euclidean distance of color distribution, object center coordinates
and speed are considered in judging whether the target is match and suspicious.
The extensive tests on videos and images show that our method in video analysis
has high accuracy and fast speed compared with traditional method. The method
can be applied into many fields such as video surveillance and security.
