Glance-MCMT: A General MCMT Framework with Glance Initialization and Progressive Association

• URL: http://arxiv.org/abs/2507.10115v1
• Date: Mon, 14 Jul 2025 09:57:53 GMT
• Title: Glance-MCMT: A General MCMT Framework with Glance Initialization and Progressive Association
• Authors: Hamidreza Hashempoor,
• Abstract summary: We propose a multi-camera multi-target (MCMT) tracking framework that ensures consistent global identity assignment across views.<n>The pipeline starts with BoT-SORT-based single-camera tracking, followed by an initial glance phase to initialize global IDs.<n>New global IDs are only introduced when no sufficiently similar trajectory or feature match is found.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: We propose a multi-camera multi-target (MCMT) tracking framework that ensures consistent global identity assignment across views using trajectory and appearance cues. The pipeline starts with BoT-SORT-based single-camera tracking, followed by an initial glance phase to initialize global IDs via trajectory-feature matching. In later frames, new tracklets are matched to existing global identities through a prioritized global matching strategy. New global IDs are only introduced when no sufficiently similar trajectory or feature match is found. 3D positions are estimated using depth maps and calibration for spatial validation.

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