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 401–410 of 1322 papers

Title	Date	Tasks	Status
DIVERSIFY to Generalize: Learning Generalized Representations for Time Series Classification	Sep 29, 2021	Activity RecognitionClassification	—Unverified
DNN Transfer Learning from Diversified Micro-Doppler for Motion Classification	Nov 20, 2018	Activity RecognitionHuman Activity Recognition	—Unverified
Dynamic Programming for Instance Annotation in Multi-instance Multi-label Learning	Nov 14, 2014	Activity RecognitionMulti-Label Learning	—Unverified
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey	Apr 7, 2023	Activity RecognitionDomain Adaptation	—Unverified
Early Improving Recurrent Elastic Highway Network	Aug 14, 2017	Activity RecognitionHuman Activity Recognition	—Unverified
A Comprehensive Methodological Survey of Human Activity Recognition Across Divers Data Modalities	Sep 15, 2024	Action DetectionActivity Detection	—Unverified
Convolutional Relational Machine for Group Activity Recognition	Apr 5, 2019	Activity RecognitionGroup Activity Recognition	—Unverified
Domain Generalization for Activity Recognition via Adaptive Feature Fusion	Jul 21, 2022	Activity RecognitionDomain Adaptation	—Unverified
Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition	Oct 19, 2021	Action RecognitionActivity Recognition	—Unverified
A Real-time Human Pose Estimation Approach for Optimal Sensor Placement in Sensor-based Human Activity Recognition	Jul 6, 2023	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