No abstract

The two issues of art image creation and data hiding are integrated into one and solved by a single approach in this study. An automatic method for generating a new type of computer art, called stained glass image, which imitates the stained-glass window picture, is proposed. The method is based on the use of a tree structure for region growing to construct the art image. Also proposed is a data hiding method which utilizes a general feature of the tree structure, namely, number of tree nodes, to encode the data to be embedded. The method can be modified for uses in three information protection applications, namely, covert communication, watermarking, and image authentication. Besides the artistic stego-image content which may distract the hacker's attention to the hidden data, data security is also considered by randomizing both the input data and the seed locations for region growing, yielding a stego-image which is robust against the hacker's attacks. Good experimental results proving the feasibility of the proposed methods are also included.

No abstract

What needs to be solved is the problem of automatic tracking of pedestrians in a complex monitoring environment. In the actual monitoring environment, there are usually chaotic scenes, noise, light changes, and constant changes in human motion, in this context, the post-test probability and observation probability are non-Gaussic, nonlinear, so the framework of particle filtering is chosen to solve the pedestrian tracking problem. In target modeling, human motion is non-rigid body deformation, and color features for the target plane rotation, non-rigid deformation, partial masking and other situations are more robust, so in tracking pedestrians to choose color features. This paper proposes an overlay algorithm that automatically selects the maximum attribute area to determine the trace area. Finally, this paper uses color features to realize the automatic tracking of pedestrians under the theoretical framework of particle filtering.