Gladkova M, Korobov N, Demmel N, Osep A, Leal-Taixe L, Cremers D (2022)
Publication Type: Conference contribution
Publication year: 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2022-October
Pages Range: 3777-3784
Conference Proceedings Title: IEEE International Conference on Intelligent Robots and Systems
Event location: Kyoto, JPN
ISBN: 9781665479271
DOI: 10.1109/IROS47612.2022.9981260
Direct methods have shown excellent performance in the applications of visual odometry and SLAM. In this work we propose to leverage their effectiveness for the task of 3D multi-object tracking. To this end, we propose DirectTracker, a framework that effectively combines direct image alignment for the short-term tracking and sliding-window photometric bundle adjustment for 3D object detection. Object proposals are estimated based on the sparse sliding-window pointcloud and further refined using an optimization-based cost function that carefully combines 3D and 2D cues to ensure consistency in image and world space. We propose to evaluate 3D tracking using the recently introduced higher-order tracking accuracy (HOTA) metric and the generalized intersection over union sim-ilarity measure to mitigate the limitations of the conventional use of intersection over union for the evaluation of vision-based trackers. We perform evaluation on the KITTI Tracking benchmark for the Car class and show competitive performance in tracking objects both in 2D and 3D.
APA:
Gladkova, M., Korobov, N., Demmel, N., Osep, A., Leal-Taixe, L., & Cremers, D. (2022). DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment. In IEEE International Conference on Intelligent Robots and Systems (pp. 3777-3784). Kyoto, JPN: Institute of Electrical and Electronics Engineers Inc..
MLA:
Gladkova, Mariia, et al. "DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment." Proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, JPN Institute of Electrical and Electronics Engineers Inc., 2022. 3777-3784.
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