DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment

Gladkova M, Korobov N, Demmel N, Osep A, Leal-Taixe L, Cremers D (2022)


Publication Type: Conference contribution

Publication year: 2022

Journal

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

Abstract

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.

Involved external institutions

How to cite

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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