Mesh-SORT: Simple and effective of location-wise tracker
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In recent years, Multi-Object Tracking (MOT) has gained increased attention due to its potential applications in traffic and person detection. We have observed that in most tracking scenarios, objects tend to move and be lost within specific locations. To address this, we propose different strategies for tracking and association that can identify and target these regions. Additionally, we note that tracking by detection may be impacted by errors in the detector, such as an imprecise bounding box. To counter this, we present a robust strategy for dealing with lost objects, as well as a location-wise method for tracking by detection that includes three improvements in lost tracklet management. Resulting Mesh-SORT, it gives mesh division for the original frame, and applying strategies for differentiation. Experiments demonstrate the potential of our approach and the improvements it provides over the baseline.
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