Title :
Performance evaluation of a multiple-hypothesis multi-target tracking algorithm
Author :
Chang, Kuo-Chu ; Mori, Shozo ; Chong, Chee-Yee
Author_Institution :
Adv. Decision Syst., Mountain View, CA, USA
Abstract :
This study is concerned with the performance evaluation of multiple-hypothesis, multi-target tracking algorithms. Target-detection/track-initiation capabilities as measures of performance were investigated. Through Monte Carlo simulations, a multiple-hypothesis tracking algorithm was evaluated in terms of: probability of establishing a track from target returns; and false track density. A radar was chosen as the sensor, and a general-purpose multiple-hypothesis, multitarget tracking algorithm, called generalized tracker/classifier, was used in the Monte Carlo simulations
Keywords :
Monte Carlo methods; probability; radar theory; tracking; Monte Carlo simulations; false track density; generalized tracker/classifier; multiple-hypothesis multi-target tracking algorithm; performance evaluation; radar; target detection; track-initiation; Algorithm design and analysis; Analytical models; Gaussian distribution; History; Logic; Monte Carlo methods; Performance analysis; Radar tracking; Surveillance; Target tracking;
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
DOI :
10.1109/CDC.1990.204026
