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

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Showing 301–310 of 1322 papers

Title	Date	Tasks	Status	Score
A Novel Skeleton-Based Human Activity Discovery Using Particle Swarm Optimization with Gaussian Mutation	Jan 14, 2022	Activity RecognitionHuman Activity Recognition	CodeCode Available	5
Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition	Sep 27, 2024	Activity RecognitionGraph Learning	CodeCode Available	5
Spatio-Temporal Action Graph Networks	Dec 4, 2018	Activity RecognitionAutonomous Driving	CodeCode Available	5
ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition	May 31, 2019	Active LearningActivity Recognition	CodeCode Available	5
Adversarial Attacks on Deep Neural Networks for Time Series Classification	Mar 17, 2019	Activity RecognitionAdversarial Attack	CodeCode Available	5
Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art	Jun 13, 2018	Activity RecognitionHuman Activity Recognition	CodeCode Available	5
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition	Jan 19, 2025	Activity RecognitionComputational Efficiency	CodeCode Available	5
Human Activity Recognition in an Open World	Dec 23, 2022	Activity RecognitionHuman Activity Recognition	CodeCode Available	5
Cross-modal Knowledge Distillation for Vision-to-Sensor Action Recognition	Oct 8, 2021	Action RecognitionActivity Recognition	CodeCode Available	5
Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity Recognition	Jan 1, 2024	Activity RecognitionData Augmentation	CodeCode Available	5

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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