Translation and scale invariance for event-based object tracking


We published a paper on Translation and Scale Invariance for Event-Based Object tracking for the Neuro-Inspired Computational Elements Conference (NICE) held in San Antonio, Texas.

The paper contributes

  1. Spiking neural networks rivals artificial neural networks when operating on event-based data
  2. A differentiable method to convert spikes into coordinates in R2\mathbb{R}^2
  3. Real-time object tracking with event-based vision on graphical processing units (GPUs)

Please find the paper, presentation slideshow, and website along with steps to reproduce our findings below