The method extracts motion and shape features from indefinite image sequences, and integrates these features to segment the input scene. The aim of this paper ...

The method extracts motion and shape features from indefinite image sequences, and integrates these features to segment the input scene. The aim of this paper ...

The aim of this paper is to highlight the importance of the accumulative computation method for motion features extraction in the active selective visual ...

A new method for active visual attention is briefly introduced in this paper. The method extracts motion and shape features from indefinite image sequences, and ...

The three models are based on the accumulative computation problem-solving method. ... M.T. López et al. Motion features to enhance scene segmentation in active ...

The basic parameters for the accumulative computation are: Chmax = 255, Chmin = 0, and Cmotion =5. Fig. 3 graphically shows the values for the permanency memory.

A new computational model for active visual attention is introduced in this paper. The method extracts motion and shape features from video image sequences, and ...

A new computational model for active visual attention is introduced in this paper. The method extracts motion and shape features from video image sequences ...

Depth inclusion as an important parameter for dynamic selective visual attention is presented in this article. The model introduced in.

The aim of this paper is to highlight the importance of the accumulative computation method for motion features extraction in the active selective visual ...