Intent inference via syntactic tracking

Author:

Krishnamurthy Vikram,Fanaswala Mustafa H.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference25 articles.

1. P.H. Foo, G.W. Ng, K.H. Ng, R. Yang, Application of intent inference for surveillance and conformance monitoring to aid human cognition, in: 10th International Conference on Information Fusion ʼ07, 2007, pp. 1–8.

2. D. Polling, M. Mulder, M. van Paassen, Q. Chu, Inferring the driverʼs lane change intention using context-based dynamic Bayesian networks, in: IEEE International Conference on Systems, Man and Cybernetics ʼ05, vol. 1, 2005, pp. 853–858.

3. Intent-based probabilistic conflict detection for the next generation air transportation system;Hwang;Proceedings of the IEEE,2008

4. H. Sheng, C. Li, Q. Wei, Z. Xiong, Real-time detection of abnormal vehicle events with multi-feature over highway surveillance video, in: 11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008, pp. 550–556.

5. Trajectory-based anomalous event detection;Piciarelli;IEEE Transactions on Circuits and Systems for Video Technology,2008

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4. Intent Inference and Detection of Anomalous Trajectories: A Metalevel Tracking Approach;Integrated Tracking, Classification, and Sensor Management;2014-01-10

5. Stochastic context-free grammars for scale-dependent intent inference;SPIE Proceedings;2013-05-23

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