Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

A deep learning framework for multi-animal pose tracking.

a toolkit for pose estimation using deep learning

Behavioral Observation Research Interactive Software

Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.

Variational Animal Motion Embedding - A tool for time series embedding and clustering

Motion Planner for Self Driving Cars

live, low-latency markerless multi-camera 3D animal tracking system

Closed-loop behavioral experiment toolkit using pose estimation of body parts.

Use iterative feature pruning to identify hierarchical clusters.

WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans

SIPEC: the deep-learning Swiss knife for behavioral data analysis

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

Crowd behavior analysis is an important field of research in modern world. It has wide applications in surveillance and public safety which are one of the prime social concerns. One way to analyze crowd behavior is obtain crowd movement data and then find out outliers in the individual trajectories to infer any abnormal behavior in the crowd.

Code for the ECCV'22 paper "Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos".

Headless DeepLabCut (no GUI support)

Fully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.

Collection of scripts that utilize Twitter API for suspicious behavior analysis

2020新网银行金融科技挑战赛 AI算法赛道A榜14, B榜16解决方案

[MM 2024] The official implementation code for "DAT: Dialogue-Aware Transformer with Modality-Group Fusion for Human Engagement Estimation"