Activity Recognition

Human Activity Recognition is the problem of identifying events performed by humans given a video input. It is formulated as a binary (or multiclass) classification problem of outputting activity class labels. Activity Recognition is an important problem with many societal applications including smart surveillance, video search/retrieval, intelligent robots, and other monitoring systems.

Source: Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 331–340 of 1322 papers

Title	Date	Tasks	Status
CHARM: A Hierarchical Deep Learning Model for Classification of Complex Human Activities Using Motion Sensors	Jul 16, 2022	Activity RecognitionHuman Activity Recognition	—Unverified
Channel Phase Processing in Wireless Networks for Human Activity Recognition	Mar 29, 2023	Activity RecognitionDenoising	—Unverified
cGAN-Based High Dimensional IMU Sensor Data Generation for Enhanced Human Activity Recognition in Therapeutic Activities	Feb 16, 2023	Activity RecognitionHuman Activity Recognition	—Unverified
An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition	Jan 4, 2017	Activity RecognitionDiversity	—Unverified
Adaptation of Surgical Activity Recognition Models Across Operating Rooms	Jul 7, 2022	Activity RecognitionDomain Adaptation	—Unverified
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition	Mar 16, 2020	Activity RecognitionDiversity	—Unverified
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition	Apr 10, 2017	Activity RecognitionGroup Activity Recognition	—Unverified
CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering	Jul 17, 2024	Activity RecognitionClustering	—Unverified
An Interpretable Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data	Dec 3, 2018	Activity RecognitionHuman Activity Recognition	—Unverified
Can You Spot the Semantic Predicate in this Video?	Aug 1, 2018	Activity RecognitionHuman Activity Recognition	—Unverified

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All datasets RWF-2000 Stanford40 First-Person Hand Action Benchmark Self-stimulatory Behavior Dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Structured Keypoint Pooling	Accuracy	93.4	—	Unverified
2	Semi-Supervised Hard Attention (SSHA); pretrained on Deepmind Kinetics dataset	Accuracy	90.4	—	Unverified
3	Human Skeletons + Change Detection	Accuracy	90.25	—	Unverified
4	Separable Convolutional LSTM	Accuracy	89.75	—	Unverified
5	SPIL Convolution	Accuracy	89.3	—	Unverified
6	Flow Gated Network	Accuracy	87.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FocusCLIP	Top-3 Accuracy (%)	10.47	—	Unverified
2	CLIP	Top-3 Accuracy (%)	6.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Boutaleb et al.	1:1 Accuracy	97.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	all-landmark-model	Activity Recognition	0.76	—	Unverified