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Targets Association across Multiple Cameras by Learning Transfer Models
2016
International Journal of Signal Processing, Image Processing and Pattern Recognition
In this paper, we propose a novel method to solve the problem of targets association and tracking across multiple cameras of non-overlapping views. The method is divided into two parts. One is an improvement on appearance transfer model, another is an improvement on spatio-temporal transfer model. To learn inter-camera appearance transfer models, lαβ color space is used to calibrate images. By this way, the overall and local information can be used, which has advantage to color transform
doi:10.14257/ijsip.2016.9.1.17
fatcat:yxq6nnv3ergy3gzqrr443gp65q