Min-Chul Park
ABSTRACT
In this paper, a new method of automatic focusing attention for a stereo pairs of image sequence is proposed. The proposed method is new in that it utilizes motion and depth information for the purpose of detecting FOA (focus of attention). Typical feature integration model is expanded to incorporate motion and depth stimulus in our suggested model. Suggested model is able to respond to motion stimulus by employing motion fields map as one of temporal features to the feature integration model, and also the disparity map obtained from a stereo pair of images is exploited as one of spatial visual features to form a set of topographic feature maps in our approach. The analysis of motion field map and incorporation of the result are distinct from some of the previous studies on spatial feature integration. We have tested our model with various kinds of real images such as stereo pairs of image sequences which have all kind of features (color, intensity, orientation, form, depth, motion), or the images which have just have only intensity, or have no depth or no motion information.
- L. Itti, C. Koch, and E. Niebur, E., "A Model of saliency-based visual attention for rapid scene analysis", IEEE Transactions on Pattern Analysis and Machine Intelligence, pp.1254--1259, 1998. Google Scholar
Digital Library
- A. M. Treisman, G. Gelade, "A Feature-integration Theory of Attention", Cognitive Psychology, Vol. 12, No. 1, pp. 97--136, 1980.Google ScholarCross Ref
- N. J. Cepeda, K. R. Cave, N. P. Bichot and M. S. Kim, "Spatial Selection via Feature-driven Inhibition of Distractor Locations", Perception and Psychophysics, Vol. 60, No. 5, pp. 727--746, 1998.Google ScholarCross Ref
- M. S. Kim and K. R. Cave, "Top-down and Bottom-up Attentional Control: on the Nature of Interference from a Salient Distractor", Perception and Psychophysics, Vol.61, No.5, pp. 1009--1023., 1999.Google ScholarCross Ref
- K. Nakayama, "Binocular Visual Surface Perception", Proceeding of National Academy Science, Vol. 93, pp. 634--639, 1996.Google ScholarCross Ref
- M. C. Park, K. J. Cheoi, "An Adaptive ROI Detection System for Spatiotemporal Features", Journal of the Korea Contents Association, Vol. 6, No. 1, pp.41--53, 2006.Google Scholar
- M. C. Park, K. J. Cheoi, "Selective Visual Attention System Based on Spatiotemporal Features", LNCS, Vol. 5068, pp.203--212, 2008. Google ScholarDigital Library
- A. Clark, A. Hiroshi, "Visual Psychophysics (8): Visual Motion Perception and Motion Pictures", Journal of Image Information and Television Engineers, Vol. 58, No. 8, pp. 1151--1156, 2004.Google ScholarCross Ref
Index Terms
- Automatic focusing attention for a stereo pair of image sequence
Recommendations
A depth extraction method based on motion and geometry for 2D to 3D conversion
IITA'09: Proceedings of the 3rd international conference on Intelligent information technology applicationWith the development of 3DTV, the conversion of existing 2D videos to 3D videos becomes an important component of 3D content production. One of the key steps in 2D to 3D conversion is how to generate a dense depth map. In this paper, we propose a novel ...
A Depth Extraction Method Based on Motion and Geometry for 2D to 3D Conversion
IITA '09: Proceedings of the 2009 Third International Symposium on Intelligent Information Technology Application - Volume 03With the development of 3DTV, the conversion of existing 2D videos to 3D videos becomes an important component of 3D content production. One of the key steps in 2D to 3D conversion is how to generate a dense depth map. In this paper, we propose a novel ...
Perception of blending in stereo motion panoramas
Most methods for synthesizing panoramas assume that the scene is static. A few methods have been proposed for synthesizing stereo or motion panoramas, but there has been little attempt to synthesize panoramas that have both stereo and motion. One faces ...
Comments