Face Recognition from Long-Term Observations
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
The steerable pyramid: a flexible architecture for multi-scale derivative computation
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
Realtime Personal Positioning System for Wearable Computers
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
ISWC '01 Proceedings of the 5th IEEE International Symposium on Wearable Computers
Context-based vision system for place and object recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
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In this paper, we propose a place recognition system which recognize places from a large set of images obtained over time. A set or a sequence of images provides more information about the places and that can be used for more robust recognition. For this, the proposed system recognize places using density matching between the estimated density of the input set and density of the stored images for each place. In the proposed system, we use global texture feature vector for image representation and their density for place recognition. We use a method based on a Gaussian model of texture vector distribution and a matching criterion using the Kullback-Leibler divergence measure. In the experiment, the system successfully recognized the places in several image sequence, the success rate of place recognition was 87% on average.