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 661–670 of 1322 papers

Title	Date	Tasks	Status	Hype
A Novel Skeleton-Based Human Activity Discovery Using Particle Swarm Optimization with Gaussian Mutation	Jan 14, 2022	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
An adaptable cognitive microcontroller node for fitness activity recognition	Jan 13, 2022	Activity Recognition	—Unverified	0
Optimization of Network Throughput of Joint Radar Communication System Using Stochastic Geometry	Jan 10, 2022	Activity RecognitionIndoor Localization	—Unverified	0
Human Activity Recognition on wrist-worn accelerometers using self-supervised neural networks	Dec 22, 2021	Activity RecognitionHuman Activity Recognition	—Unverified	0
Expansion-Squeeze-Excitation Fusion Network for Elderly Activity Recognition	Dec 21, 2021	Action RecognitionActivity Recognition	—Unverified	0
Attention-Based Sensor Fusion for Human Activity Recognition Using IMU Signals	Dec 20, 2021	Activity RecognitionHuman Activity Recognition	—Unverified	0
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality	Dec 11, 2021	Activity RecognitionGroup Activity Recognition	CodeCode Available	1
Accoustate: Auto-annotation of IMU-generated Activity Signatures under Smart Infrastructure	Dec 8, 2021	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled IoT Sensor Streams	Dec 6, 2021	Activity RecognitionChange Point Detection	CodeCode Available	0
SSDL: Self-Supervised Dictionary Learning	Dec 3, 2021	Activity RecognitionDictionary Learning	—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