Fetching the paper…
Reading the bibliography…
Recent approaches on trajectory forecasting use tracklets to predict the future positions of pedestrians exploiting Long Short Term Memory (LSTM) architectures.
A new approach to linear filtering and prediction problems
R. E. Kalman et al · 1960
Earlier work this paper cites.
The hidden dimension
E. T. Hall · 1966
Earlier work this paper cites.
Fitting autoregressive models for prediction
H. Akaike · 1969
Earlier work this paper cites.
Philips engineering report 43, 1980
J. F. Caminada and W. J. M. van Bommel · 1980
Earlier work this paper cites.
Spectral analysis and time series
M. B. Priestley · 1981
Earlier work this paper cites.
Computing a nearest symmetric positive semidefinite matrix
N. J. Higham · 1988
Earlier work this paper cites.
Generalized linear models, no. 37 in monograph on statistics and applied probability, 1989
P. McCullagh and J. A. Nelder · 1989
Earlier work this paper cites.
Social force model for
D. Helbing and P. Molnar · 1995
Earlier work this paper cites.
Numerical methods for unconstrained optimization and nonlinear equations
J. E. Dennis Jr and R. B. Schnabel · 1996
Earlier work this paper cites.
Unconstrained parametrizations for variance-covariance matrices
J. C. Pinheiro and D. M. Bates · 1996
Earlier work this paper cites.
Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
Earlier work this paper cites.
Prediction with gaussian processes: From linear regression to linear prediction and beyond
C. K. I. Williams · 1998
Earlier work this paper cites.
From gaze to focus of attention
R. Stiefelhagen, M. Finke, J. Yang, and A. Waibel · 1999
Earlier work this paper cites.
The spatial resolution of visual attention
J. Intriligator and P. Cavanagh · 2001
Earlier work this paper cites.
Topics in circular statistics
S. R. Jammalamadaka and A. Sengupta · 2001
Earlier work this paper cites.
How far ahead do we look when required to step on specific locations in the travel path during locomotion?
A. E. Patla and J. N. Vickers · 2003
Earlier work this paper cites.
Apprenticeship learning via inverse reinforcement learning
P. Abbeel and A. Y. Ng · 2004
Earlier work this paper cites.
A probabilistic framework for joint head tracking and pose estimation
S. O. Ba and J.-M. Odobez · 2004
Earlier work this paper cites.
Least-squares covariance matrix adjustment
S. Boyd and L. Xiao · 2005
Earlier work this paper cites.
A unifying view of sparse approximate gaussian process regression
J. Quiñonero-Candela and C. E. Rasmussen · 2005
Earlier work this paper cites.
Head pose estimation on low resolution images
N. Gourier, J. Maisonnasse, D. Hall, and J. L. Crowley · 2006
Earlier work this paper cites.
Gaussian processes for machine learning
C. E. Rasmussen · 2006
Cited alongside, same era.
Estimating gaze direction from low-resolution faces in video
N. M. Robertson and I. D. Reid · 2006
Cited alongside, same era.
Crowds by example
A. Lerner, Y. Chrysanthou, and D. Lischinski · 2007
Cited alongside, same era.
A survey of vision-based trajectory learning and analysis for surveillance
B. T. Morris and M. M. Trivedi · 2008
Cited alongside, same era.
Gaussian process dynamical models for human motion
J. M. Wang, D. J. Fleet, and A. Hertzmann · 2008
Cited alongside, same era.
Maximum entropy inverse reinforcement learning
B. D. Ziebart, A. Maas, J. A. Bagnell, and A. K. Dey · 2008
Cited alongside, same era.
The visual control of bicycle steering: The effects of speed and path width
P. Vansteenkiste, G. Cardon, E. D’Hondt, R. Philippaerts, and M. Lenoir · 2013
Later among the works it cites.
Socially-aware large-scale crowd forecasting
A. Alahi, V. Ramanathan, and L. Fei-Fei · 2014
Later among the works it cites.
Using eye-tracking to identify pedestrians’ critical visual tasks, Part 1. Dual task approach
S. Fotios, J. Uttley, C. Cheal, and N. Hara · 2015
Later among the works it cites.
Using eye-tracking to identify pedestrians’ critical visual tasks. part 2. fixation on pedestrians
S. Fotios, J. Uttley, and B. Yang · 2015
Later among the works it cites.
DRAW: A recurrent neural network for image generation
K. Gregor, I. Danihelka, A. Graves, D. J. Rezende, and D. Wierstra · 2015
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
You’ll never walk alone: Modeling social behavior for multi-target tracking
S. Pellegrini, A. Ess, K. Schindler, and L. Van Gool · 2009
Cited alongside, same era.
Planning-based prediction for pedestrians
B. D. Ziebart, N. Ratliff, G. Gallagher, C. Mertz, K. Peterson, J. A. Bagnell, M. Hebert, A. K. Dey, and S. Srinivasa · 2009
Cited alongside, same era.
Unfreezing the robot: Navigation in dense, interacting crowds
P. Trautman and A. Krause · 2010
Cited alongside, same era.
Stable multi-target tracking in real-time surveillance video
B. Benfold and I. Reid · 2011
Cited alongside, same era.
Manipulation planning with goal sets using constrained trajectory optimization
A. D. Dragan, N. D. Ratliff, and S. S. Srinivasa · 2011
Cited alongside, same era.
The where, what and when of gaze allocation in the lab and the natural environment
T. Foulsham, E. Walker, and A. Kingstone · 2011
Cited alongside, same era.
Fast and accurate head pose estimation via random projection forests
D. Lee, M.-H. Yang, and S. Oh · 2015
Later among the works it cites.
Show and tell: A neural image caption generator
O. Vinyals, A. Toshev, S. Bengio, and D. Erhan · 2015
Later among the works it cites.
Understanding pedestrian behaviors from stationary crowd groups
S. Yi, H. Li, and X. Wang · 2015
Later among the works it cites.
Social LSTM: Human trajectory prediction in crowded spaces
A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-Fei, and S. Savarese · 2016
Later among the works it cites.
Predicting wide receiver trajectories in american football
N. Lee and K. M. Kitani · 2016
Later among the works it cites.
Goal set inverse optimal control and iterative replanning for predicting human reaching motions in shared workspaces
J. Mainprice, R. Hayne, and D. Berenson · 2016
Later among the works it cites.
Learning social etiquette: Human trajectory understanding in crowded scenes
A. Robicquet, A. Sadeghian, A. Alahi, and S. Savarese · 2016
Later among the works it cites.
Crowd scene understanding with coherent recurrent neural networks
H. Su, Y. Dong, J. Zhu, H. Ling, and B. Zhang · 2016
Later among the works it cites.
Long short-term memory kalman filters: Recurrent neural estimators for pose regularization
H. Coskun, F. Achilles, R. Di Pietro, N. Navab, and F. Tombari · 2017
Later among the works it cites.
Forecast the plausible paths in crowd scenes
Y. D. B. Z. Hang Su, Jun Zhu · 2017
Later among the works it cites.
Tiny head pose classification by bodily cues
I. Hasan, T. Tsesmelis, F. Galasso, A. Del Bue, and M. Cristani · 2017
Later among the works it cites.
Forecasting interactive dynamics of pedestrians with fictitious play
W.-C. Ma, D.-A. Huang, N. Lee, and K. M. Kitani · 2017
Later among the works it cites.
Tracking the untrackable: Learning to track multiple cues with long-term dependencies
A. Sadeghian, A. Alahi, and S. Savarese · 2017
Later among the works it cites.
3DOF pedestrian trajectory prediction learned from long-term autonomous mobile robot deployment data
L. Sun, Z. Yan, S. M. Mellado, M. Hanheide, and T. Duckett · 2017
Later among the works it cites.
Human trajectory prediction using spatially aware deep attention models
D. Varshneya and G. Srinivasaraghavan · 2017
Later among the works it cites.