Group Activity Recognition

7 papers with code • 2 benchmarks • 2 datasets

Group Activity Recognition is a subset of human activity recognition problem which focuses on the collective behavior of a group of people, resulted from the individual actions of the persons and their interactions. Collective activity recognition is a basic task for automatic human behavior analysis in many areas like surveillance or sports videos.

Source: A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition

Greatest papers with code

Learning Actor Relation Graphs for Group Activity Recognition

wjchaoGit/Group-Activity-Recognition CVPR 2019

To this end, we propose to build a flexible and efficient Actor Relation Graph (ARG) to simultaneously capture the appearance and position relation between actors.

Action Recognition Group Activity Recognition

Hierarchical Deep Temporal Models for Group Activity Recognition

mostafa-saad/deep-activity-rec 9 Jul 2016

In order to model both person-level and group-level dynamics, we present a 2-stage deep temporal model for the group activity recognition problem.

Group Activity Recognition

A Hierarchical Deep Temporal Model for Group Activity Recognition

mostafa-saad/deep-activity-rec CVPR 2016

In group activity recognition, the temporal dynamics of the whole activity can be inferred based on the dynamics of the individual people representing the activity.

Group Activity Recognition

Learning Group Activities from Skeletons without Individual Action Labels

fabiozappo/SkeletonGroupActivityRecognition 14 May 2021

To understand human behavior we must not just recognize individual actions but model possibly complex group activity and interactions.

Group Activity Recognition

SBGAR: Semantics Based Group Activity Recognition

xincoder/SBGAR ICCV 2017

Activity recognition has become an important function in many emerging computer vision applications e. g. automatic video surveillance system, human-computer interaction application, and video recommendation system, etc.

Group Activity Recognition

Improved Actor Relation Graph based Group Activity Recognition

kuangzijian/Improved-Actor-Relation-Graph-based-Group-Activity-Recognition 24 Oct 2020

We propose to use Normalized cross-correlation (NCC) and the sum of absolute differences (SAD) to calculate the pair-wise appearance similarity and build the actor relationship graph to allow the graph convolution network to learn how to classify group activities.

Group Activity Recognition Object Detection +2