Real-Time Trajectory Calculation And Prediction Using Neighborhood-Level Parallel Processing

This work presents a smart camera application of real-time trajectory calculation, utilizing a neighborhood-level parallel processing vision chip to track objects and predict their path of motion. The vision chip contains arrays of pixel elements embedded into neighborhood processors, which are tiled to create a 64x80 resolution vision chip. The high frame rate and processing speed of the vision chip allows for calculation of the object's trajectory before leaving the frame. Algorithm design for the tracking algorithm is discussed and hardware test results for linear and non-linear path predictions are presented. Further considerations in optimizing the algorithm for higher precision and robust trajectory forecasting are discussed.