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 511–520 of 1322 papers

Title	Date	Tasks	Status	Hype
Video-based Pose-Estimation Data as Source for Transfer Learning in Human Activity Recognition	Dec 2, 2022	Activity RecognitionHuman Activity Recognition	—Unverified	0
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback	Dec 1, 2022	Activity RecognitionHuman Activity Recognition	—Unverified	0
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing	Nov 28, 2022	Activity RecognitionFew Shot Action Recognition	CodeCode Available	1
Distribution estimation and change-point estimation for time series via DNN-based GANs	Nov 26, 2022	Activity RecognitionBlocking	—Unverified	0
SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition	Nov 25, 2022	Activity RecognitionDomain Adaptation	CodeCode Available	1
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack	Nov 21, 2022	Activity RecognitionAdversarial Attack	CodeCode Available	1
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors	Nov 17, 2022	Activity PredictionActivity Recognition	CodeCode Available	3
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks	Nov 14, 2022	Activity RecognitionHuman Activity Recognition	CodeCode Available	1
PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference	Nov 12, 2022	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
Investigating Enhancements to Contrastive Predictive Coding for Human Activity Recognition	Nov 11, 2022	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