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 531–540 of 1322 papers

Title	Date	Tasks	Status	Hype
The Contribution of Human Body Capacitance/Body-Area Electric Field To Individual and Collaborative Activity Recognition	Oct 26, 2022	Activity Recognition	CodeCode Available	0
IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text	Oct 26, 2022	Activity RecognitionContrastive Learning	CodeCode Available	1
Performance of different machine learning methods on activity recognition and pose estimation datasets	Oct 19, 2022	Activity RecognitionPose Estimation	—Unverified	0
A Symbolic Representation of Human Posture for Interpretable Learning and Reasoning	Oct 17, 2022	Activity RecognitionSpatial Reasoning	—Unverified	0
MMTSA: Multimodal Temporal Segment Attention Network for Efficient Human Activity Recognition	Oct 14, 2022	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
Temporal Feature Alignment in Contrastive Self-Supervised Learning for Human Activity Recognition	Oct 7, 2022	Activity RecognitionDynamic Time Warping	CodeCode Available	1
Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognition	Oct 4, 2022	Activity RecognitionWearable Activity Recognition	—Unverified	0
Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition	Oct 3, 2022	Activity RecognitionHuman Activity Recognition	—Unverified	0
Robust Trajectory-based Density Estimation for Geometric Structure Recovery: Theory and Applications	Oct 1, 2022	Activity RecognitionDensity Estimation	—Unverified	0
Low-Resolution Action Recognition for Tiny Actions Challenge	Sep 28, 2022	Action RecognitionActivity Recognition	—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