Active vision based on space-variant sensing
The fifth international symposium on Robotics research
Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Promising directions in active vision
International Journal of Computer Vision
Computing occluding and transparent motions
International Journal of Computer Vision
Active tracking of foveated feature clusters using affine structure
International Journal of Computer Vision
A wavelet approach to foveating images
SCG '97 Proceedings of the thirteenth annual symposium on Computational geometry
Reciprocal-Wedge Transform for Space-Variant Sensing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrated Person Tracking Using Stereo, Color, and Pattern Detection
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Variable resolution vision: biologically-motivated foveal compression and prioritization
Variable resolution vision: biologically-motivated foveal compression and prioritization
Foveate wavelet transform and its applications in digital video processing, acquisition, and indexing
The application of mean field theory to image motion estimation
IEEE Transactions on Image Processing
An efficient two-pass MAP-MRF algorithm for motion estimation based on mean field theory
IEEE Transactions on Circuits and Systems for Video Technology
A new foveal Cartesian geometry approach used for object tracking
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Automatic object extraction and reconstruction in active video
Pattern Recognition
3D Target Scale Estimation and Target Feature Separation for Size Preserving Tracking in PTZ Video
International Journal of Computer Vision
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In this paper, a new variable resolution technique驴Foveate Wavelet Transform (FWT) is proposed to represent digital images in an effort to efficiently represent visual data. Compared to existing variable resolution techniques, the strength of the proposed scheme encompasses its linearity preservation, orientation selectivity, and flexibility while supporting interesting behaviors resembling the animate vision system. The linearity preservation of the FWT is due to the fact that only low and/or high-pass filterings are carried out in different regions of an image in the transform. The orientation selectivity indicates the fact that details along the horizontal, vertical, and diagonal directions are readily available in the FWT representation. The flexibility of this new representation technique is witnessed by the readiness of its extensions to represent foveae of different number, shape, and locations. To demonstrate the efficacy of the FWT, two applications are presented. First, an FWT-based active camera control scheme is developed, where the computer can move a camera to track the moving object in the scene. Second, an FWT-based method purporting to recover pan/tilt/zoom camera movements from video clips is developed. Experiments of these two applications have shown encouraging performances.