Convolutional Deep Belief Networks for Single-Cell/Object Tracking in Computational Biology and Computer Vision

Figure 4

The precision and success plots of quantitative comparison for the 50 sequences in the CVPR2013 tracking benchmark [6]. The performance score of each tracker is shown in the legend. The proposed CDBN-10-2 (in red) obtains better or comparable performance against state-of-the-art tracking methods.

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