Title :
The intent inference in target tracking based on the target track
Author :
Huan He ; Chongzhao Han
Author_Institution :
Key Lab. for Intell. Networks & Network Security, Xi´an Jiaotong Univ., Xi´an, China
Abstract :
The detection of anomalous trajectory patterns in target tracking is considered here to infer the target´s intent which is assumed to be related to the shape of the target´s trajectory. The context-free grammar is used to model the trajectory of the target and obtain the mode sequence via the quantification to the state estimate. The modified Earley algorithm is proposed to parse the mode sequence in real time and infer the intent of a target under conditions on the target identification. Numerical simulation examples show the validation of the grammar to model the rectangle trajectory with three turns at any moments.
Keywords :
context-free grammars; signal processing; state estimation; target tracking; Earley algorithm; anomalous trajectory pattern detection; context-free grammar; intent inference; mode sequence parsing; rectangle trajectory modelling; state estimate quantification; target identification; target tracking; Lead; Target tracking; Earley algorithm; context free grammar; intent inference; target identification;
Conference_Titel :
System Science and Engineering (ICSSE), 2014 IEEE International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/ICSSE.2014.6887896