MOT15 (Multiple Object Tracking 15)

Introduced by Leal-Taixé et al. in MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

MOT2015 is a dataset for multiple object tracking. It contains 11 different indoor and outdoor scenes of public places with pedestrians as the objects of interest, where camera motion, camera angle and imaging condition vary greatly. The dataset provides detections generated by the ACF-based detector.

Source: FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking


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