An FPGA-based accelerator for multiple real-time template matching
Erika S. Albuquerque, Antonyus P. A. Ferreira, Joao G. M. Silva, João Pedro Ferraz Mourão Maya Barbosa, Renato L. M. Carlos, Djeefther S. Albuquerque, Edna N. S. Barros · 2016
Object tracking with multiple dense templates is a challenging problem in the context of continuous monitoring video cameras. Applications of the multiple match template technique range from tracking of multiple independent objects to several pose variations of a single object. Due to its high accuracy and tolerance to brightness and contrast changes, the zero mean normalized cross-correlation(ZNCC) was selected as similarity measure. This paper proposes an FPGA architecture that explores a full pipeline implementation and maximizes the internal data reuse to calculate several ZNCC-based template matching in an efficient approach. Experimental results shows that the proposed implementation achieves the real-time performance reaching up to 30fps running ten parallel ZNCCs in a single Stratix IV FPGA.