CollabMOT Stereo Camera Collaborative Multi Object Tracking

Author:

Ninh Phong Phu1ORCID,Kim Hyungwon1ORCID

Affiliation:

1. Department of Electronic Engineering, Chungbuk National University, Cheongju-si, Republic of Korea

Funder

National Research Foundation of Korea (NRF) for RLRC

Korean Government [Ministry of Science and ICT (MSIT)], South Korea

Institute of Information & Communications Technology Planning & Evaluation

Korean Government (MSIT) through the Development of Self-Learnable Mobile Recursive Neural Network Processor Technology

MSIT under the Grand Information Technology Research Center Support Program through the Grand-ICT supervised by IITP

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference69 articles.

1. Tracking Objects as Points

2. Learning to Track with Object Permanence

3. Object permanence emerges in a random walk along memory;Tokmakov

4. ByteTrack: Multi-object Tracking by Associating Every Detection Box

5. Observation-centric SORT: Rethinking SORT for robust multi-object tracking;Cao;arXiv:2203.14360,2022

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