Multiple Object Tracking Performance Metrics and ...

Multiple Object Tracking Performance Metricsand Evaluation in a Smart Room EnvironmentKeni Bernardin, Alexander Elbs, Rainer StiefelhagenInstitut f ur Theoretische InformatikInteractive Systems LabUniversit at Karlsruhe, 76131 Karlsruhe, Tracking of Multiple persons in real worldenvironments is an active research field and several ap-proaches have been proposed, based on a variety of featuresand algorithms. Recently, there has been a growing interestin organizing systematic evaluations to compare the varioustechniques. Unfortunately, the lack of common Metrics formeasuring the Performance of Multiple Object trackers stillmakes it hard to compare their this work, we introduce two intuitive and general metricsto allow for objective comparison of tracker characteris-tics, focusing on their precision in estimating Object loca-tions, their accuracy in recognizing Object configurationsand their ability to consistently label objects over also present a novel system for Tracking Multiple users ina smart room environment using several cameras, based oncolor histogram Tracking of person regions and automaticinitialization using special Object system is used to demonstrate the expressiveness of theproposed Metrics through a sample Performance evaluationusing real test video sequences of people int

the “tracking accuracy” which shows how many mistakes the tracker made in terms of misses, false positives, mis-matches,failurestorecovertracks,etc. Thesemeasureswill be explained in detail in the latter part of this section. 2.1 Establishing Correspondences Between Objects and …

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  Performance, Multiple, Tracking, Metrics, Object, Accuracy, Multiple object tracking performance metrics and

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