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 561–570 of 1322 papers

Title	Date	Tasks	Status	Hype
ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization	Aug 19, 2022	Activity RecognitionCross-Domain Activity Recognition	—Unverified	0
Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System	Aug 17, 2022	Activity RecognitionData Poisoning	—Unverified	0
ViT-ReT: Vision and Recurrent Transformer Neural Networks for Human Activity Recognition in Videos	Aug 16, 2022	Activity RecognitionActivity Recognition In Videos	—Unverified	0
Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition	Aug 16, 2022	Activity PredictionActivity Recognition	—Unverified	0
Self-Supervised Multimodal Fusion Transformer for Passive Activity Recognition	Aug 15, 2022	Activity RecognitionSelf-Supervised Learning	—Unverified	0
AI-Powered Non-Contact In-Home Gait Monitoring and Activity Recognition System Based on mm-Wave FMCW Radar and Cloud Computing	Aug 11, 2022	Activity RecognitionCloud Computing	—Unverified	0
Human Activity Recognition Using Cascaded Dual Attention CNN and Bi-Directional GRU Framework	Aug 9, 2022	Action RecognitionActivity Recognition	—Unverified	0
Vision-Based Activity Recognition in Children with Autism-Related Behaviors	Aug 8, 2022	Activity Recognition	—Unverified	0
BSDGAN: Balancing Sensor Data Generative Adversarial Networks for Human Activity Recognition	Aug 7, 2022	Activity RecognitionHuman Activity Recognition	—Unverified	0
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications	Aug 7, 2022	Activity RecognitionData Augmentation	CodeCode Available	1

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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