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 121–130 of 1322 papers

Title	Date	Tasks	Status	Hype
Real-world Anomaly Detection in Surveillance Videos	Jan 12, 2018	Abnormal Event Detection In VideoActivity Recognition	CodeCode Available	1
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing	Nov 7, 2016	Activity RecognitionGeneral Classification	CodeCode Available	1
OSL𝛼: Online Structure Learning Using Background Knowledge Axiomatization	Sep 4, 2016	Activity RecognitionRelational Reasoning	CodeCode Available	1
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs	Jul 15, 2025	Activity RecognitionFederated Learning	—Unverified	0
SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition Network	Jun 25, 2025	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis	Jun 17, 2025	Activity Recognition	—Unverified	0
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding	Jun 16, 2025	Activity RecognitionHuman Activity Recognition	—Unverified	0
MORIC: CSI Delay-Doppler Decomposition for Robust Wi-Fi-based Human Activity Recognition	Jun 15, 2025	Activity RecognitionHuman Activity Recognition	—Unverified	0
AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments	Jun 13, 2025	Activity RecognitionHuman Activity Recognition	—Unverified	0
ScalableHD: Scalable and High-Throughput Hyperdimensional Computing Inference on Multi-Core CPUs	Jun 10, 2025	Activity RecognitionHuman Activity Recognition	—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