Direction-Oriented Topic Modeling with Applications in Traffic Scene Analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Neuroscience,Computer Science Applications,Software,Automotive Engineering,Applied Mathematics,Control and Systems Engineering,Aerospace Engineering,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13177-023-00373-1.pdf
Reference30 articles.
1. Fu, W., Wang, J., Lu, H., Ma, S.: Dynamic scene understanding by improved sparse topical coding. Pattern Recogn 46(7), 1841–1850 (2013)
2. Wan, Y., Yang, T.I., Keathly, D., Buckles, B.: Dynamic scene modeling and anomaly detection based on trajectory analysis. IET Intel Transport Syst 8(6), 526–533 (2014)
3. Cai, Y., Wang, H., Chen, X., Jiang, H.: Trajectory-based anomalous behavior detection for intelligent traffic surveillance. IET Intel Transport Syst 9(8), 810–816 (2015)
4. Morris, B.T., Trivedi, M.M.: Understanding vehicular traffic behavior from video: A survey of unsupervised approaches. J Electron Imaging 22(4), 041113–041113 (2013)
5. Wang, X., Ma, X., Grimson, W.E.L.: Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models. IEEE Trans Pattern Anal Mach Intell 31(3), 539–555 (2009)
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