Performance Measures and a Data Set for Multi target, Multi camera Tracking
To help accelerate progress in multi target, multi camera tracking systems, we present (i) a new pair of precision recall measures of performance that treats errors of all types uniformly and emphasizes correct identification over sources of error; (ii) the largest fully annotated and calibrated data set to date with more than 2 million frames of 1080 p, 60 fps video taken by 8 cameras observing more than 2,700 identities over 85 min; and (iii) a reference software system as a comparison baseline. We show that (i) our measures properly account for bottom line identity match performance in the multi camera setting; (ii) our data set poses realistic challenges to current trackers; and (iii) the performance of our system is comparable to the state of the art.
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