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DSEC-MOT: an Event-based MOT Dataset

Citation Author(s):
Song Wang (The University of Hong Kong)
Zhu Wang (The University of Hong Kong)
Xiaojuan Qi (The University of Hong Kong)
Can Li (The University of Hong Kong)
Hayden Kwok-Hay So (The University of Hong Kong)
Submitted by:
Song Wang
Last updated:
DOI:
10.21227/kg81-z613
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Abstract

Introduction

Welcome to the new challenging event-based multi-object tracking dataset (DSEC-MOT) repository. Our goal is to provide a challenging and diverse event-based MOT dataset with various real-world scenarios to facilitate the objective and comphrehensive evaluation of event-based multi-object tracking algorithms. This dataset, built upon DSEC, contains a variety of traffic entities and complex scenarios, aiming to address the current lack of event-based MOT datasets.

 

Dataset Statistics

DSEC-MOT contains:

- 12 annotated sequences with a total of 37,080 boxes, 502 tracks, and 769.2-second duration

- 7 object classes including cars, pedestrians, bicycles, motorcycles, buses, trucks, and trains

- Challenging scenarios including crowded urban areas and rural scenes with various lighting conditions

- Severe occlusions, making the dataset suitable for testing trackers' occlusion handling capabilities

- Event resolution 640 x 480

Instructions:

Download

DSEC event files

Annotation files (1.0 MB)

 

Annotation Format

The annotation data for the DSEC-MOT dataset is stored in txt files, with each annotation occupying a single line. 

 

The format of the annotation is as follows:  

`[timestamp, track ID, box left, box top, box width, box height, class ID]`

 

- `timestamp` represents the time at which the specific object is annotated

- `track ID` is assigned for each unique object being tracked in the event sequence

- `box left` and `box top` denote the coordinates of the top-left corner of the bounding box

- `box width` and `box height` specify the dimensions of the bounding box surrounding the object

- `class ID` indicates the class of the object being tracked

 

| Class ID |      Label      |

|-------------|-----------------|

| 0            | Cars            |

| 1            | Pedestrians |

| 2            | Bicycles       |

| 3            | Motorcycles |

| 4            | Buses          |

| 5            | Trucks         |

| 6            | Trains          |

 

Example annotation:  

`[54828357559, 10, 178, 222, 100, 70, 0]`

 

This example annotation represents a car appearing at the timestamp 54828357559 microsecond, with a unique track ID of 10. The bounding box for this object has its top-left corner at coordinates (178, 222) and dimensions of width 100 and height 70.

 

We hope our DSEC-MOT dataset contributes to advancing research in event-based multi-object tracking. If you have any questions or issues, feel free to reach out to us or open an issue in this GitHub repository. Enjoy tracking!

Dataset Files

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