Traffic-flow analysis allows to make critical decisions for retail operation management. Common approaches for traffic-flow analysis make use of hardware-based solutions, which have major drawbacks, such as high deployment and maintenance costs. In this work, we address this issue by proposing a Multiple-Object Tracking (MOT) system, following the tracking-by-detection paradigm, that leverages on an ensemble of detectors, each running every f frames. We further measured the performance of our model in the MOT16 Challenge and applied our algorithm to obtain heatmaps and paths for customers and shopping carts in a retail store from CCTV cameras.
CITATION STYLE
Cobos, R., Hernandez, J., & Abad, A. G. (2019). Retail Traffic-Flow Analysis Using a Fast Multi-object Detection and Tracking System. In Communications in Computer and Information Science (Vol. 1096 CCIS, pp. 29–39). Springer. https://doi.org/10.1007/978-3-030-36211-9_3
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