Taxonomic performance evaluation for multitarget tracking systems

A scoring scheme based on an object track classification which facilitates performance evaluation for multiple-target tracking systems is derived and applied to specific test cases involving a comparison of operational and modified tracking system performance. The performance measures derived can be applied both to comparative evaluations of tracking system alternatives where relative performance is the issue, and to evaluations of system performance relative to what can be achieved in any given target object environment. >

[1]  Yaakov Bar-Shalom,et al.  Multi-target tracking using joint probabilistic data association , 1980, 1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[2]  Donald Reid.  An algorithm for tracking multiple targets , 1978 .

[3]  Kim B. Housewright,et al.  Derivation and evaluation of improved tracking filter for use in dense multitarget environments , 1974, IEEE Trans. Inf. Theory.

[4]  Peter Maybeck,et al.  Adaptive Tracker Field-of-View Variation Via Multiple Model Filtering , 1985, IEEE Transactions on Aerospace and Electronic Systems.

[5]  J. Stein,et al.  Generalized Correlation of Multi-Target Track Data , 1975, IEEE Transactions on Aerospace and Electronic Systems.

[6]  I. Goodman.  A scoring procedure for the multiple target correlation and tracking problem , 1980, 1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[7]  Robert W. Sittler,et al.  An Optimal Data Association Problem in Surveillance Theory , 1964, IEEE Transactions on Military Electronics.

[8]  P. Smith,et al.  A branching algorithm for discriminating and tracking multiple objects , 1975 .

[9]  Yaakov Bar-Shalom,et al.  Tracking methods in a multitarget environment , 1978 .

[10]  D. Teneketzis,et al.  Performance Analysis for Hybrid State Estimation Problems , 1985, 1985 American Control Conference.

[11]  Y. Bar-Shalom,et al.  Tracking in a cluttered environment with probabilistic data association , 1975, Autom..

[12]  Y. Bar-Shalom.  Tracking and data association , 1988 .

[13]  D. Alspach,et al.  A score for correct data association in multi-target tracking , 1979, 1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.