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Tracking success ratios for different object and trackers

Tracking success ratios for different object and trackers

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Figure 1: 
Table 1 : Tracking success ratios for different object and trackers
Figure 2: Sample iterations for a mean-shift tracking process, showing...
Figure 3: 
+4 Figure 4: The ideal histogram H obj ideal that is defined to be 
Confidence-Based Dynamic Classifier Combination For Mean-Shift Tracking
Article
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  • Jul 2011
We introduce a novel tracking technique which uses dynamic confidence-based fusion of two different information sources for robust and efficient tracking of visual objects. Mean-shift tracking is a popular and well known method used in object tracking problems. Originally, the algorithm uses a similarity measure which is optimized by shifting a sea...
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Context 1
... Table 1 we present tracking success ratios of trackers for different objects, where we also show situations that tracker has failed to track the ob- ject until the end with a * mark. The trackers are initialized using ground truth rectangles of the objects after they are fully visible in the frame. ...
Context 2
... Table 1 it can be seen that in all of the situ- ations where individual classifiers fail to track the object until the end, the tracker obtained with our fusion approach can track the object successfully. In addition, even in the cases where both classifiers can succeed individually, the measure presented in Equation (14) has always higher values with the tracker obtained with our fusion approach. ...

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