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 481–490 of 1322 papers

Title	Date	Tasks	Status	Hype
LaMPP: Language Models as Probabilistic Priors for Perception and Action	Feb 3, 2023	Activity RecognitionDecision Making	CodeCode Available	1
PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation	Feb 1, 2023	Activity RecognitionHuman Activity Recognition	—Unverified	0
Ensemble Learning for Fusion of Multiview Vision with Occlusion and Missing Information: Framework and Evaluations with Real-World Data and Applications in Driver Hand Activity Recognition	Jan 30, 2023	Activity RecognitionAutonomous Driving	—Unverified	0
Optical Flow Estimation in 360^ Videos: Dataset, Model and Application	Jan 27, 2023	Activity RecognitionEgocentric Activity Recognition	—Unverified	0
Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning	Jan 26, 2023	Activity RecognitionContinual Learning	CodeCode Available	1
Feature Relevance Analysis to Explain Concept Drift -- A Case Study in Human Activity Recognition	Jan 20, 2023	Activity RecognitionDrift Detection	—Unverified	0
Dataset Bias in Human Activity Recognition	Jan 19, 2023	Activity RecognitionHuman Activity Recognition	—Unverified	0
Sleep Activity Recognition and Characterization from Multi-Source Passively Sensed Data	Jan 17, 2023	Activity Recognition	—Unverified	0
Your Day in Your Pocket: Complex Activity Recognition from Smartphone Accelerometers	Jan 17, 2023	Activity RecognitionBinary Classification	—Unverified	0
Exploring Automatic Gym Workouts Recognition Locally On Wearable Resource-Constrained Devices	Jan 13, 2023	Activity RecognitionQuantization	—Unverified	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