FPGA Target Tracking Hardware for KCF Algorithm

The patent replaces the software-based implementation on general-purpose processors with a hardware-based implementation using FPGA. This substitution transforms the computational system from software execution to hardware circuit operation, enabling parallel processing while reducing power consumption. The FPGA-based architecture implements the KCF algorithm through dedicated hardware circuits that can simultaneously perform multiple computational operations.

The patent divides the KCF algorithm implementation into multiple independent computational modules that can operate in parallel on the FPGA. By segmenting the algorithm into discrete functional units (such as separate correlation filter computation units, feature extraction units, and response calculation units), the system achieves higher parallelism and reduces the computational burden on any single processing element, thereby lowering overall power consumption.

The patent segments the target tracking system into multiple parallel processing channels on the FPGA, where each channel can independently process different targets or different stages of the tracking algorithm. This segmentation enables simultaneous processing of multiple targets, achieving real-time performance while maintaining manageable system complexity through modular architecture design.

The patent transitions from serial computing (one-dimensional time progression) to parallel computing (adding a spatial dimension of simultaneous operations). By implementing multiple computational paths that operate concurrently on the FPGA, the system processes multiple targets or multiple algorithmic stages simultaneously, dramatically improving real-time processing capability without proportionally increasing device complexity.