Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Painting with looks: photographic images from video using quantimetric processing
Proceedings of the tenth ACM international conference on Multimedia
Acquiring and Rendering High-Resolution Spherical Mosaics
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
Determining the Camera Response from Images: What Is Knowable?
IEEE Transactions on Pattern Analysis and Machine Intelligence
Jointly registering images in domain and range by piecewise linear comparametric analysis
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A Fast and reliable image mosaicing technique with application to wide area motion detection
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Tone correction with dynamic objects for seamless image mosaic
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
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Scene segmentation among background and foreground (moving) regions represents the first layer of many applications such as visual surveillance. Exploiting PTZ cameras permits to widen the field of view of a surveyed area and to achieve real object tracking through pan and tilt movements of the observer point of view. Having a mosaiced background allows a system to exploit the background subtraction technique even with moving cameras. Although spatial alignment issues have been thoroughly investigated, tonal registration has been often left out of consideration. This work presents a robust general purpose technique to perform spatial and tonal image registration to achieve a background mosaic without exploiting any prior information regarding the scene or the acquisition device. Accurate experiments accomplished on outdoor and indoor scenes assess the visual quality of the mosaic. Finally, the last experiment proves the effectiveness of using such a mosaic in our visual surveillance application.