A novel algorithm for color constancy
International Journal of Computer Vision
IEEE Computer Graphics and Applications
Tracking Across Multiple Cameras With Disjoint Views
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Appearance Modeling for Tracking in Multiple Non-Overlapping Cameras
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Inference of Non-Overlapping Camera Network Topology by Measuring Statistical Dependence
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Recovering Non-overlapping Network Topology Using Far-field Vehicle Tracking Data
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Human appearance modeling for matching across video sequences
Machine Vision and Applications
Object matching in disjoint cameras using a color transfer approach
Machine Vision and Applications
Learning Network Topology from Simple Sensor Data
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Generalized Gamut Mapping using Image Derivative Structures for Color Constancy
International Journal of Computer Vision
Continuous learning of a multilayered network topology in a video camera network
Journal on Image and Video Processing - Special issue on video-based modeling, analysis, and recognition of human motion
Bridging the gaps between cameras
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Recovering the Topology of Multiple Cameras by Finding Continuous Paths in a Trellis
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Pedestrian recognition with a learned metric
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Person re-identification by probabilistic relative distance comparison
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
IEEE Transactions on Image Processing
Object tracking across non-overlapping cameras using adaptive models
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
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In this paper, we introduce a novel algorithm to solve the problem of object tracking across multiple non-overlapping cameras by learning inter-camera transfer models. The transfer models are divided into two parts according to different kinds of cues, i.e. spatio-temporal cues and appearance cues. To learn spatio-temporal transfer models across cameras, an unsupervised topology recovering approach based on N-neighbor accumulated cross-correlations is proposed, which estimates the topology of a non-overlapping multi-camera network. Different from previous methods, the proposed topology recovering method can deal with large amounts of data without considering the size of time window. To learn inter-camera appearance transfer models, a color transfer method is used to model the changes of color characteristics across cameras, which has an advantage of low requirements to training samples, making update efficient when illumination conditions change. The experiments are performed on different datasets. Experimental results demonstrate the effectiveness of the proposed algorithm.