Fetching the paper…
Reading the bibliography…
Multi-object tracking (MOT) enables mobile robots to perform well-informed motion planning and navigation by localizing surrounding objects in 3D space and time.
Evaluating multiple object tracking performance: The clear mot metrics
K. Bernardin and R. Stiefelhagen · 2008
Earlier work this paper cites.
Towards 3D object recognition via classification of arbitrary object tracks
A. Teichman, J. Levinson, and S. Thrun · 2011
Earlier work this paper cites.
Are we ready for autonomous driving? the KITTI vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
Earlier work this paper cites.
Joint self-localization and tracking of generic objects in 3d range data
F. Moosmann and C. Stiller · 2013
Earlier work this paper cites.
3D object proposals for accurate object class detection
X. Chen, K. Kundu, Y. Zhu, A. G. Berneshawi, H. Ma, S. Fidler, and R. Urtasun · 2015
Earlier work this paper cites.
Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Earlier work this paper cites.
Learning by tracking: Siamese cnn for robust target association
L. Leal-Taixé, C. Canton-Ferrer, and K. Schindler · 2016
Earlier work this paper cites.
Mask R-CNN
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
Earlier work this paper cites.
Combined image- and world-space tracking in traffic scenes
A. Ošep, W. Mehner, M. Mathias, and B. Leibe · 2017
Earlier work this paper cites.
Pointnet: Deep learning on point sets for 3d classification and segmentation
C. R. Qi, H. Su, K. Mo, and L. J. Guibas · 2017
Earlier work this paper cites.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
C. R. Qi, L. Yi, H. Su, and L. J. Guibas · 2017
Earlier work this paper cites.
Accurate single stage detector using recurrent rolling convolution
J. Ren, X. Chen, J. Liu, W. Sun, J. Pang, Q. Yan, Y.-W. Tai, and L. Xu · 2017
Earlier work this paper cites.
Cascade r-cnn: Delving into high quality object detection
Z. Cai and N. Vasconcelos · 2018
Earlier work this paper cites.
End-to-end learning of multi-sensor 3d tracking by detection
D. Frossard and R. Urtasun · 2018
Earlier work this paper cites.
Beyond pixels: Leveraging geometry and shape cues for online multi-object tracking
S. Sharma, J. A. Ansari, J. Krishna Murthy, and K. Madhava Krishna · 2018
Earlier work this paper cites.
Fantrack: 3d multi-object tracking with feature association network
E. Baser, V. Balasubramanian, P. Bhattacharyya, and K. Czarnecki · 2019
Cited alongside, same era.
Tracking without bells and whistles
P. Bergmann, T. Meinhardt, and L. Leal-Taixé · 2019
Cited alongside, same era.
nuscenes: A multimodal dataset for autonomous driving
H. Caesar, V. Bankiti, A. H. Lang, S. Vora, V. E. Liong, Q. Xu, A. Krishnan, Y. Pan, G. Baldan, and O. Beijbom · 2019
Cited alongside, same era.
Argoverse: 3d tracking and forecasting with rich maps
M.-F. Chang, J. Lambert, P. Sangkloy, J. Singh, S. Bak, A. Hartnett, D. Wang, P. Carr, S. Lucey, D. Ramanan, et al · 2019
Cited alongside, same era.
MMDetection: Open mmlab detection toolbox and benchmark
K. Chen, J. Wang, J. Pang, Y. Cao, Y. Xiong, X. Li, S. Sun, W. Feng, Z. Liu, J. Xu, Z. Zhang, D. Cheng, C. Zhu, T. Cheng, Q. Zhao, B. Li, X. Lu, R. Zhu, Y. Wu, J. Dai, J. Wang, J. Shi, W. Ouyang, C. C. Loy, and D. Lin · 2019
Probabilistic 3d multi-object tracking for autonomous driving
H.-k. Chiu, A. Prioletti, J. Li, and J. Bohg · 2020
Later among the works it cites.
Smat: Smart multiple affinity metrics for multiple object tracking
N. F. Gonzalez, A. Ospina, and P. Calvez · 2020
Later among the works it cites.
Track to reconstruct and reconstruct to track
J. Luiten, T. Fischer, and B. Leibe · 2020
Later among the works it cites.
Hota: A higher order metric for evaluating multi-object tracking
J. Luiten, A. Ošep, P. Dendorfer, P. Torr, A. Geiger, L. Leal-Taixé, and B. Leibe · 2020
Later among the works it cites.
3d pedestrian tracking using local structure constraints
U. Nguyen and C. Heipke · 2020
Later among the works it cites.
Jrmot: A real-time 3d multi-object tracker and a new large-scale dataset
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Behavioral pedestrian tracking using a camera and lidar sensors on a moving vehicle
M. Dimitrievski, P. Veelaert, and W. Philips · 2019
Cited alongside, same era.
Joint monocular 3d vehicle detection and tracking
H.-N. Hu, Q.-Z. Cai, D. Wang, J. Lin, M. Sun, P. Krahenbuhl, T. Darrell, and F. Yu · 2019
Cited alongside, same era.
Multiple object tracking with attention to appearance, structure, motion and size
H. Karunasekera, H. Wang, and H. Zhang · 2019
Cited alongside, same era.
Pointrcnn: 3d object proposal generation and detection from point cloud
S. Shi, X. Wang, and H. Li · 2019
Cited alongside, same era.
MOTS: Multi-object tracking and segmentation
P. Voigtlaender, M. Krause, A. Ošep, J. Luiten, B. B. G. Sekar, A. Geiger, and B. Leibe · 2019
Cited alongside, same era.
Robust multi-modality multi-object tracking
W. Zhang, H. Zhou, S. Sun, Z. Wang, J. Shi, and C. C. Loy · 2019
Cited alongside, same era.
Robust multi-modality multi-object tracking
W. Zhang, H. Zhou, S. Sun, Z. Wang, J. Shi, and C. C. Loy · 2019
Cited alongside, same era.
A. Shenoi, M. Patel, J. Gwak, P. Goebel, A. Sadeghian, H. Rezatofighi, R. Martín-Martín, and S. Savarese · 2020
Later among the works it cites.
Point-gnn: Graph neural network for 3d object detection in a point cloud
W. Shi and R. R. Rajkumar · 2020
Later among the works it cites.
Scalability in perception for autonomous driving: Waymo open dataset
P. Sun, H. Kretzschmar, X. Dotiwalla, A. Chouard, V. Patnaik, P. Tsui, J. Guo, Y. Zhou, Y. Chai, B. Caine, et al · 2020
Later among the works it cites.
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
X. Weng, J. Wang, D. Held, and K. Kitani · 2020
Later among the works it cites.
GNN3DMOT: Graph neural network for 3d multi-object tracking with 2d-3d multi-feature learning
X. Weng, Y. Wang, Y. Man, and K. M. Kitani · 2020
Later among the works it cites.
How to train your deep multi-object tracker
Y. Xu, A. Ošep, Y. Ban, R. Horaud, L. Leal-Taixé, and X. Alameda-Pineda · 2020
Later among the works it cites.
Segment as points for efficient online multi-object tracking and segmentation
Z. Xu, W. Zhang, X. Tan, W. Yang, H. Huang, S. Wen, E. Ding, and L. Huang · 2020
Later among the works it cites.
Center-based 3d object detection and tracking
T. Yin, X. Zhou, and P. Krähenbühl · 2020
Later among the works it cites.
Tracking objects as points
X. Zhou, V. Koltun, and P. Krähenbühl · 2020
Later among the works it cites.