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 441–450 of 1322 papers

Title	Date	Tasks	Status
Egocentric Activity Recognition and Localization on a 3D Map	May 20, 2021	Action LocalizationAction Recognition	—Unverified
Egocentric Activity Recognition on a Budget	Jun 1, 2018	Activity RecognitionEgocentric Activity Recognition	—Unverified
Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery	Jun 29, 2020	Action RecognitionActivity Recognition	—Unverified
"Filling the Blanks'': Identifying Micro-activities that Compose Complex Human Activities of Daily Living	Jun 22, 2023	Activity RecognitionAttribute	—Unverified
DNN Transfer Learning from Diversified Micro-Doppler for Motion Classification	Nov 20, 2018	Activity RecognitionHuman Activity Recognition	—Unverified
DIVERSIFY to Generalize: Learning Generalized Representations for Time Series Classification	Sep 29, 2021	Activity RecognitionClassification	—Unverified
Automatic Interaction and Activity Recognition from Videos of Human Manual Demonstrations with Application to Anomaly Detection	Apr 19, 2023	Activity RecognitionAnomaly Detection	—Unverified
Embedding Symbolic Temporal Knowledge into Deep Sequential Models	Jan 28, 2021	Action RecognitionActivity Recognition	—Unverified
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization	Aug 4, 2023	Activity RecognitionGesture Recognition	—Unverified
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition	Jun 7, 2024	Activity RecognitionDiversity	—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