FPGA-accelerated Quantized Deep Neural Networks for Human Visual Behaviour Understanding

• Unité de recherche: INNOSUISSE
• Numéro de projet: 29667.1 IP-ICT
• Titre du projet anglais: FPGA-accelerated Quantized Deep Neural Networks for Human Visual Behaviour Understanding

Description succincte (Allemand)

FPGA-accelerated Quantized Deep Neural Networks for Human Visual Behaviour Understanding

Description succincte (Anglais)

FPGA-accelerated Quantized Deep Neural Networks for Human Visual Behaviour Understanding

Résumé des résultats (Abstract) (Allemand)

We aim to develop a combined convolutional neural network using multi task learning to detect, track and estimate human visual behaviour and appearance attributes to further quantize and implement on FPGA, so that it can be used in industry scale interactive advertising and store analytics projects.