Static force field representation of environments based on agents’ nonlinear motions-Reference-Cited by-同舟云学术

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Static force field representation of environments based on agents’ nonlinear motions

Published:2017-01-31 Issue:1 Volume:2017 Page:
ISSN:1687-6180
Container-title:EURASIP Journal on Advances in Signal Processing
language:en
Short-container-title:EURASIP J. Adv. Signal Process.

Author:

Campo Damian^ORCID,Betancourt Alejandro,Marcenaro Lucio,Regazzoni Carlo

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1186/s13634-017-0444-5.pdf

Reference46 articles.

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2. V Mahadevan, W Li, V Bhalodia, N Vasconcelos. Anomaly detection in crowded scenes, (2010), pp. 1975–1981, doi: 10.1109/CVPR.2010.5539872 .

3. O Aköz, ME Karsligil, Traffic event classification at intersections based on the severity of abnormality. Mach. Vis. Appl. 25(3), 613–632 (2014). doi: 10.1007/s00138-011-0390-4 .

4. BT Morris, MM Trivedi, Trajectory learning for activity understanding: unsupervised, multilevel, and long-term adaptive approach. IEEE Trans. Pattern Anal. Mach. Intell. 33(11), 2287–2301 (2011). doi: 10.1109/TPAMI.2011.64 .

5. X Wang, KT Ma, G-W Ng, WEL Grimson, Trajectory analysis and semantic region modeling using nonparametric hierarchical Bayesian models. Int. J. Comput. Vis. 95(3), 287–312 (2011). doi: 10.1007/s11263-011-0459-6 .

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