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

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Showing 441–450 of 1322 papers

Title	Date	Tasks	Status
MLP-AIR: An Efficient MLP-Based Method for Actor Interaction Relation Learning in Group Activity Recognition	Apr 18, 2023	Activity RecognitionGroup Activity Recognition	—Unverified
Contactless Human Activity Recognition using Deep Learning with Flexible and Scalable Software Define Radio	Apr 18, 2023	Activity RecognitionHuman Activity Recognition	—Unverified
Applications of Deep Learning for Top-View Omnidirectional Imaging: A Survey	Apr 17, 2023	Activity RecognitionDeep Learning	—Unverified
Explaining, Analyzing, and Probing Representations of Self-Supervised Learning Models for Sensor-based Human Activity Recognition	Apr 14, 2023	Activity RecognitionHuman Activity Recognition	—Unverified
Continuous Human Activity Recognition using a MIMO Radar for Transitional Motion Analysis	Apr 12, 2023	Activity RecognitionHuman Activity Recognition	—Unverified
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey	Apr 7, 2023	Activity RecognitionDomain Adaptation	—Unverified
VicTR: Video-conditioned Text Representations for Activity Recognition	Apr 5, 2023	Action ClassificationActivity Recognition	—Unverified
Multi-Channel Time-Series Person and Soft-Biometric Identification	Apr 4, 2023	Activity RecognitionAttribute	—Unverified
WSense: A Robust Feature Learning Module for Lightweight Human Activity Recognition	Mar 31, 2023	Activity RecognitionHuman Activity Recognition	CodeCode Available
Channel Phase Processing in Wireless Networks for Human Activity Recognition	Mar 29, 2023	Activity RecognitionDenoising	—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