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 881–890 of 1322 papers

Title	Date	Tasks	Status
Jointly learning heterogeneous features for rgb-d activity recognition	Dec 15, 2016	Activity RecognitionBenchmarking	—Unverified
Joint segmentation of multivariate time series with hidden process regression for human activity recognition	Dec 25, 2013	Activity RecognitionHuman Activity Recognition	—Unverified
Kernel Learning for Extrinsic Classification of Manifold Features	Jun 1, 2013	Activity RecognitionClassification	—Unverified
Knowledge Augmented Relation Inference for Group Activity Recognition	Feb 28, 2023	Activity RecognitionGroup Activity Recognition	—Unverified
Knowledge Distillation for Reservoir-based Classifier: Human Activity Recognition	May 29, 2025	Activity RecognitionEdge-computing	—Unverified
Knowledge Graph Driven Approach to Represent Video Streams for Spatiotemporal Event Pattern Matching in Complex Event Processing	Jul 13, 2020	Activity RecognitionEvent Detection	—Unverified
Knowledge Transfer across Multiple Principal Component Analysis Studies	Mar 12, 2024	Activity RecognitionTransfer Learning	—Unverified
Know Thy Neighbors: A Graph Based Approach for Effective Sensor-Based Human Activity Recognition in Smart Homes	Nov 16, 2023	Activity RecognitionHuman Activity Recognition	—Unverified
Koopman pose predictions for temporally consistent human walking estimations	May 5, 2022	Activity RecognitionPose Prediction	—Unverified
Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System	Aug 17, 2022	Activity RecognitionData Poisoning	—Unverified

Show:10 25 50

← PrevPage 89 of 133Next →

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