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A soft-biometrics dataset for person tracking and re-identification

: Schumann, Arne; Monari, Eduardo


Ko. Hanseok (Ed.) ; Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
11th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2014 : Seoul, South Korea, 26 - 29 August 2014
Piscataway, NJ: IEEE, 2014
ISBN: 978-1-4799-4871-0
ISBN: 978-1-4799-4870-3
International Conference on Advanced Video and Signal Based Surveillance (AVSS) <11, 2014, Seoul>
Fraunhofer IOSB ()

In this work we present a new dataset for the tasks person detection, tracking, re-identification, and soft-biometric attribute detection in surveillance data. The dataset was recorded over three days and consists of more than 30 individuals moving through a network of seven cameras. Person tracks are labeled with consistent IDs as well as softbiometric attributes, such as a description of the clothing, gender, or height. Persons in the video data alter their appearance by changing clothes or wearing accessories. A second, clothing specific ID of each track allows for the evaluation of re-identification with or without the presence of clothing changes. In addition to video and camera calibration data, we provide evaluation protocols, tools and baseline results for each of the four tasks.