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

• Research unit: INNOSUISSE
• Project number: 29667.1 IP-ICT

Short description (German)

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

Short description (English)

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

Abstract (German)

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.