An efficient feature fusion of graph convolutional networks and its application for real-time traffic control gestures recognition
Recently, skeleton-based gesture and action recognition have emerged thanks to the
progress in human pose estimation. Gesture representation using skeletal data is robust …
progress in human pose estimation. Gesture representation using skeletal data is robust …
Autotile: Autonomous Task-tiling for Deep Inference on Battery-less Embedded System
Deep Neural Networks (DNNs) are increasingly applied in various intelligent applications for
enhanced accuracy for in-situ decision-making. Considering the cost and longevity, those …
enhanced accuracy for in-situ decision-making. Considering the cost and longevity, those …
Memory-aware efficient deep learning mechanism for iot devices
Deep learning neural networks are of critical importance to enable next-generation IoT
devices. However, due to the limited computation power, memory space, and energy, it …
devices. However, due to the limited computation power, memory space, and energy, it …
Deep positional attention-based bidirectional RNN with 3D Convolutional video descriptors for human action recognition
N Srilakshmi, N Radha - IOP Conference Series: Materials …, 2021 - iopscience.iop.org
This article presents the Joints and Trajectory-pooled 3D-Deep Positional Attention-based
Bidirectional Recurrent convolutional Descriptors (JTPADBRD) for recognizing the human …
Bidirectional Recurrent convolutional Descriptors (JTPADBRD) for recognizing the human …
Smart Surveillance System for Anomaly Recognition
K Kamble, P Jadhav, A Shanware… - ITM Web of …, 2022 - itm-conferences.org
Situation awareness is the key to security. Surveillance systems are installed in all places
where security is very important. Manually observing all the surveillance footage captured is …
where security is very important. Manually observing all the surveillance footage captured is …