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 881–890 of 1322 papers

Title	Date	Tasks	Status	Hype
Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery	Jun 29, 2020	Action RecognitionActivity Recognition	—Unverified	0
DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors	Jun 25, 2020	Activity RecognitionHard Attention	—Unverified	0
Background Knowledge Injection for Interpretable Sequence Classification	Jun 25, 2020	Activity RecognitionClassification	—Unverified	0
A dataset for complex activity recognition withmicro and macro activities in a cooking scenario	Jun 18, 2020	Activity Recognition	—Unverified	0
Learning-to-Learn Personalised Human Activity Recognition Models	Jun 12, 2020	Activity RecognitionHuman Activity Recognition	—Unverified	0
AdaSense: Adaptive Low-Power Sensing and Activity Recognition for Wearable Devices	Jun 10, 2020	Activity RecognitionClassification	—Unverified	0
On Matched Filtering for Statistical Change Point Detection	Jun 9, 2020	Activity RecognitionChange Point Detection	—Unverified	0
Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation	Jun 6, 2020	Activity RecognitionDeep Learning	CodeCode Available	1
Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices	Jun 5, 2020	Activity RecognitionDeep Learning	—Unverified	0
Entropy Decision Fusion for Smartphone Sensor based Human Activity Recognition	May 30, 2020	Activity RecognitionHuman Activity Recognition	—Unverified	0

Show:10 25 50

← PrevPage 89 of 133Next →

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