MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions

TL;DR

MultiSports is a new, detailed multi-person sports video dataset designed to challenge and advance spatio-temporal action detection methods, featuring diverse, high-quality annotations across multiple sports classes.

Contribution

The paper introduces the MultiSports dataset with well-defined, challenging criteria, detailed annotations, and a benchmark for spatio-temporal action detection in multi-person sports videos.

Findings

Baseline methods reveal intrinsic challenges in the dataset.

High diversity and dense annotations improve detection difficulty.

Benchmark results provide insights for future research.

Abstract

Spatio-temporal action detection is an important and challenging problem in video understanding. The existing action detection benchmarks are limited in aspects of small numbers of instances in a trimmed video or low-level atomic actions. This paper aims to present a new multi-person dataset of spatio-temporal localized sports actions, coined as MultiSports. We first analyze the important ingredients of constructing a realistic and challenging dataset for spatio-temporal action detection by proposing three criteria: (1) multi-person scenes and motion dependent identification, (2) with well-defined boundaries, (3) relatively fine-grained classes of high complexity. Based on these guide-lines, we build the dataset of MultiSports v1.0 by selecting 4 sports classes, collecting 3200 video clips, and annotating 37701 action instances with 902k bounding boxes. Our datasets are characterized with important properties of high diversity, dense annotation, and high quality. Our Multi-Sports, with its realistic setting and detailed annotations, exposes the intrinsic challenges of spatio-temporal action detection. To benchmark this, we adapt several baseline methods to our dataset and give an in-depth analysis on the action detection results in our dataset. We hope our MultiSports can serve as a standard benchmark for spatio-temporal action detection in the future. Our dataset website is at https://deeperaction.github.io/multisports/.