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 391–400 of 1322 papers

Title	Date	Tasks	Status	Hype
Augmenting Deep Learning Adaptation for Wearable Sensor Data through Combined Temporal-Frequency Image Encoding	Jul 3, 2023	Activity RecognitionDomain Adaptation	—Unverified	0
Post-train Black-box Defense via Bayesian Boundary Correction	Jun 29, 2023	Activity RecognitionAdversarial Attack	—Unverified	0
milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing	Jun 29, 2023	Activity RecognitionDecision Making	CodeCode Available	1
M3Act: Learning from Synthetic Human Group Activities	Jun 29, 2023	Activity RecognitionGroup Activity Recognition	—Unverified	0
MyDigitalFootprint: an extensive context dataset for pervasive computing applications at the edge	Jun 28, 2023	Activity RecognitionEdge-computing	CodeCode Available	0
GeXSe (Generative Explanatory Sensor System): An Interpretable Deep Generative Model for Human Activity Recognition in Smart Spaces	Jun 28, 2023	Activity RecognitionHuman Activity Recognition	—Unverified	0
Differentially Private Video Activity Recognition	Jun 27, 2023	Activity RecognitionClassification	—Unverified	0
A Novel Two Stream Decision Level Fusion of Vision and Inertial Sensors Data for Automatic Multimodal Human Activity Recognition System	Jun 27, 2023	Activity RecognitionHuman Activity Recognition	—Unverified	0
Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstruction	Jun 25, 2023	Activity Recognitioncompressed sensing	CodeCode Available	0
Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity	Jun 23, 2023	Activity RecognitionHuman Activity Recognition	CodeCode Available	0

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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