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 621–630 of 1322 papers

Title	Date	Tasks	Status
CSI-Based Efficient Self-Quarantine Monitoring System Using Branchy Convolution Neural Network	May 24, 2023	Activity RecognitionHuman Activity Recognition	—Unverified
CSI-Based Cross-Domain Activity Recognition via Zero-Shot Prototypical Networks	Dec 12, 2023	Activity RecognitionCross-Domain Activity Recognition	—Unverified
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community	Jul 9, 2024	Activity RecognitionHuman Activity Recognition	—Unverified
Cross-user activity recognition via temporal relation optimal transport	Mar 12, 2024	Activity RecognitionDomain Adaptation	—Unverified
Human Activity Recognition based on Dynamic Spatio-Temporal Relations	Jun 29, 2020	Activity RecognitionHuman Activity Recognition	—Unverified
Cross-user activity recognition using deep domain adaptation with temporal relation information	Mar 12, 2024	Activity RecognitionDomain Adaptation	—Unverified
Human Activity Prediction in Smart Home Environments with LSTM Neural Networks	Jun 28, 2018	Activity PredictionActivity Recognition	—Unverified
Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks	Mar 29, 2019	Activity RecognitionGenerative Adversarial Network	—Unverified
A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data	Jan 9, 2023	Activity RecognitionDecision Making	—Unverified
Human Activity Behavioural Pattern Recognition in Smarthome with Long-hour Data Collection	Jun 23, 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