Towards Software-Defined Imaging - Adaptive Video Subsampling for Energy-Efficient Object Tracking
Explore software-defined imaging algorithms for energy-efficient object tracking in this tinyML Talks webcast. Delve into adaptive video subsampling techniques that learn to jointly track objects and subsample future image frames in real-time. Examine the evolution of CMOS image sensors towards computational capabilities, including region-of-interest readout and high dynamic range functionality. Discover how these advancements parallel the progress in radio technology, leading to increasingly programmable and configurable image sensors for application-specific needs. Gain insights into experimental results, FPGA-accelerated algorithms achieving video rate performance, and the potential impact on various imaging applications. Learn about the visual SLAM pipeline, optical edge filtering, and reinforcement learning approaches in this comprehensive exploration of cutting-edge imaging technology.