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The main challenge of online multi-object tracking is to reliably associate object trajectories with detections in each video frame based on their tracking history.
Functional-coeecient regression models for nonlinear time series
Z. Cai and J. Fan · 1998
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Evaluating multiple object tracking performance: the clear mot metrics
B. Keni and S. Rainer · 2008
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Online multiperson tracking-by-detection from a single, uncalibrated camera
M. D. Breitenstein, F. Reichlin, B. Leibe, E. Koller-Meier, and L. Van Gool · 2011
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The neural autoregressive distribution estimator
H. Larochelle and I. Murray · 2011
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Globally-optimal greedy algorithms for tracking a variable number of objects
H. Pirsiavash, D. Ramanan, and C. C. Fowlkes · 2011
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Online multi-target tracking by large margin structured learning
S. Kim, S. Kwak, J. Feyereisl, and B. Han · 2012
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Multi-target tracking by lagrangian relaxation to min-cost network flow
A. A. Butt and R. T. Collins · 2013
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K. Gregor, I. Danihelka, A. Mnih, C. Blundell, and D. Wierstra · 2013
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On the properties of neural machine translation: Encoder-decoder approaches
K. Cho, B. Van Merriënboer, D. Bahdanau, and Y. Bengio · 2014
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A. Graves, G. Wayne, and I. Danihelka · 2014
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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Continuous energy minimization for multitarget tracking
A. Milan, S. Roth, and K. Schindler · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Near-online multi-target tracking with aggregated local flow descriptor
W. Choi · 2015
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Multiple hypothesis tracking revisited
C. Kim, F. Li, A. Ciptadi, and J. M. Rehg · 2015
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MOTChallenge 2015: Towards a benchmark for multi-target tracking
L. Leal-Taixé, A. Milan, I. Reid, S. Roth, and K. Schindler · 2015
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Rnndrop: A novel dropout for rnns in asr
T. Moon, H. Choi, H. Lee, and I. Song · 2015
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Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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End-to-end memory networks
S. Sukhbaatar, A. Szlam, J. Weston, and R. Fergus · 2015
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Multi-class multi-object tracking using changing point detection
B. Lee, E. Erdenee, S. Jin, and P. K. Rhee · 2016
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Mot16: A benchmark for multi-object tracking
A. Milan, L. Leal-Taixé, I. D. Reid, S. Roth, and K. Schindler · 2016
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Online multi-target tracking using recurrent neural networks
A. Milan, S. H. Rezatofighi, A. Dick, K. Schindler, and I. Reid · 2016
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Deep tracking: Seeing beyond seeing using recurrent neural networks
P. Ondruska and I. Posner · 2016
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Online multi-target tracking with strong and weak detections
R. Sanchez-Matilla, F. Poiesi, and A. Cavallaro · 2016
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Tracklet association by online target-specific metric learning and coherent dynamics estimation
B. Wang, G. Wang, K. L. Chan, and L. Wang · 2015
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Learning to track: Online multi-object tracking by decision making
Y. Xiang, A. Alahi, and S. Savarese · 2015
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Bayesian multi-object tracking using motion context from multiple objects
J. H. Yoon, M.-H. Yang, J. Lim, and K.-J. Yoon · 2015
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Simple online and realtime tracking
A. Bewley, Z. Ge, L. Ott, F. Ramos, and B. Upcroft · 2016
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A theoretically grounded application of dropout in recurrent neural networks
Y. Gal and Z. Ghahramani · 2016
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Online multi-person tracking using integral channel features
H. Kieritz, S. Becker, W. Hubner, and M. Arens · 2016
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Multi-person tracking by multicut and deep matching
S. Tang, B. Andres, M. Andriluka, and B. Schiele · 2016
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Joint learning of convolutional neural networks and temporally constrained metrics for tracklet association
B. Wang, L. Wang, B. Shuai, Z. Zuo, T. Liu, K. L. Chan, and G. Wang · 2016
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Learning deep feature representations with domain guided dropout for person re-identification
T. Xiao, H. Li, W. Ouyang, and X. Wang · 2016
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Dynamic memory networks for visual and textual question answering
C. Xiong, S. Merity, and R. Socher · 2016
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Online multi-object tracking via structural constraint event aggregation
J. H. Yoon, C.-R. Lee, M.-H. Yang, and K.-J. Yoon · 2016
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Poi: Multiple object tracking with high performance detection and appearance feature
F. Yu, W. Li, Q. Li, Y. Liu, X. Shi, and J. Yan · 2016
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Joint graph decomposition & node labeling: Problem, algorithms, applications
E. Levinkov, J. Uhrig, S. Tang, M. Omran, E. Insafutdinov, A. Kirillov, C. Rother, T. Brox, B. Schiele, and B. Andres · 2017
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Online multi-target tracking using recurrent neural networks
A. Milan, S. H. Rezatofighi, A. R. Dick, K. Schindler, and I. D. Reid · 2017
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