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HDA Person Dataset - ISR Lisbon
Person
|Autonomous Driving
|...
许可协议: Unknown

Overview

The High Definition Analytics (HDA) dataset is a multi-camera High-Resolution image sequence dataset for research on High-Definition surveillance: Pedestrian Detection (PD), person Re-Identification (RE-ID), fully integrated PD and RE-ID (PD+REID), inter-camera tracking.18 cameras (including VGA, HD and Full HD resolution) were used to acquire video streams simultaneously during 30 minutes in a typical indoor office scenario at a busy hour (lunch time) involving more than 80 persons. In the current release (v1.2), 13 of the video streams have been fully labelled.The dataset includes:* image sequences,* annotations (Bounding Boxes with the person ID and a visibility flag),* a default gallery and set of probes (complete with body part detections) for benchmarking classical Re-Identification algorithms,* detections obtained by a PD algorithm (complete with body part detections), for evaluating a RE-ID algorithm in a PD+REID schema without having to implement a PD algorithm,* and, finally, standard code for evaluating PD, RE-ID, PD+REID and inter-camera tracking algorithms.We maintain a public repository of RE-ID results on this dataset at:http://vislab.isr.ist.utl.pt/repository-of-results/Publications:"A Multi-camera video data set for research on High-Definition surveillance", Int. J. of Machine Intelligence and Sensory Signal Processing, 2014."The HDA+ data set for research on fully automated re-identification systems", ECCV workshop, 2014.

数据概要
数据格式
video, image,
数据量
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文件大小
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| 数据量 -- | 大小 --
HDA Person Dataset - ISR Lisbon
Person | Autonomous Driving
许可协议: Unknown

Overview

The High Definition Analytics (HDA) dataset is a multi-camera High-Resolution image sequence dataset for research on High-Definition surveillance: Pedestrian Detection (PD), person Re-Identification (RE-ID), fully integrated PD and RE-ID (PD+REID), inter-camera tracking.18 cameras (including VGA, HD and Full HD resolution) were used to acquire video streams simultaneously during 30 minutes in a typical indoor office scenario at a busy hour (lunch time) involving more than 80 persons. In the current release (v1.2), 13 of the video streams have been fully labelled.The dataset includes:* image sequences,* annotations (Bounding Boxes with the person ID and a visibility flag),* a default gallery and set of probes (complete with body part detections) for benchmarking classical Re-Identification algorithms,* detections obtained by a PD algorithm (complete with body part detections), for evaluating a RE-ID algorithm in a PD+REID schema without having to implement a PD algorithm,* and, finally, standard code for evaluating PD, RE-ID, PD+REID and inter-camera tracking algorithms.We maintain a public repository of RE-ID results on this dataset at:http://vislab.isr.ist.utl.pt/repository-of-results/Publications:"A Multi-camera video data set for research on High-Definition surveillance", Int. J. of Machine Intelligence and Sensory Signal Processing, 2014."The HDA+ data set for research on fully automated re-identification systems", ECCV workshop, 2014.

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