Datasets > Modality > Videos > MARS (Motion Analysis and Re-identification Set)

MARS (Motion Analysis and Re-identification Set)

Introduced by Liang Zheng et al. in MARS: A Video Benchmark for Large-Scale Person Re-Identification

MARS (Motion Analysis and Re-identification Set) is a large scale video based person reidentification dataset, an extension of the Market-1501 dataset. It has been collected from six near-synchronized cameras. It consists of 1,261 different pedestrians, who are captured by at least 2 cameras. The variations in poses, colors and illuminations of pedestrians, as well as the poor image quality, make it very difficult to yield high matching accuracy. Moreover, the dataset contains 3,248 distractors in order to make it more realistic. Deformable Part Model and GMMCP tracker were used to automatically generate the tracklets (mostly 25-50 frames long).

Source: Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets



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