2 citations · 5 across the 5 of their papers we have counts for
5 papers
An Efficient Deep Convolutional Neural Network Model For Yoga Pose Recognition Using Single Images
Santosh Kumar Yadav, Apurv Shukla, Kamlesh Tiwari +2
Pose recognition deals with designing algorithms to locate human body joints in a 2D/3D space and run inference on the estimated joint locations for predicting the poses. Yoga pose…
A Novel Two Stream Decision Level Fusion of Vision and Inertial Sensors Data for Automatic Multimodal Human Activity Recognition System
Santosh Kumar Yadav, Muhtashim Rafiqi, Egna Praneeth Gummana +3
This paper presents a novel multimodal human activity recognition system. It uses a two-stream decision level fusion of vision and inertial sensors. In the first stream, raw RGB fr…
DroneAttention: Sparse Weighted Temporal Attention for Drone-Camera Based Activity Recognition
Santosh Kumar Yadav, Achleshwar Luthra, Esha Pahwa +4
Human activity recognition (HAR) using drone-mounted cameras has attracted considerable interest from the computer vision research community in recent years. A robust and efficient…
Detecting Anomalies using Generative Adversarial Networks on Images
Rushikesh Zawar, Krupa Bhayani, Neelanjan Bhowmik +2
Automatic detection of anomalies such as weapons or threat objects in baggage security, or detecting impaired items in industrial production is an important computer vision task de…
SWTF: Sparse Weighted Temporal Fusion for Drone-Based Activity Recognition
Santosh Kumar Yadav, Esha Pahwa, Achleshwar Luthra +3
Drone-camera based human activity recognition (HAR) has received significant attention from the computer vision research community in the past few years. A robust and efficient HAR…