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Proceedings Paper

Stochastic context-free grammars for scale-dependent intent inference
Author(s): Bhashyam Balaji; Mustafa Fanaswala; Vikram Krishnamurthy
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Paper Abstract

The detection and tracking of surface targets using airborne radars has been extensively investigated in the literature. However, the state-of-the-art techniques in multi-target tracking do not automatically provide information that is potentially of tactical significance, such as anomalous trajectory patterns. In this paper, recent work that attempts to address this problem that is based on stochastic context-free grammars (SCFGs) is reviewed. It is shown that the production rule probabilities in SCFGs can be used to constrain sizes and orientation of target trajectories and hence lead to development of more refined syntactic trackers.

Paper Details

Date Published: 23 May 2013
PDF: 12 pages
Proc. SPIE 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII, 874508 (23 May 2013); doi: 10.1117/12.2017905
Show Author Affiliations
Bhashyam Balaji, Defence Research and Development Canada, Ottawa (Canada)
Mustafa Fanaswala, The Univ. of British Columbia (Canada)
Vikram Krishnamurthy, The Univ. of British Columbia (Canada)

Published in SPIE Proceedings Vol. 8745:
Signal Processing, Sensor Fusion, and Target Recognition XXII
Ivan Kadar, Editor(s)

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