Trabalhos futuros podem explorar a integração do módulo proposto com um sistema HTTP com infraestrutura Ethernet para controlar a posição da câmera enquanto é feito o rastreamento.
A arquitetura proposta também pode ser integrada com outras arquiteturas de processa- mento de vídeo no mesmo FPGA, como a arquitetura de segmentação de vídeos proposta por (BARBOSA et al., 2015). Uma plataforma como essa poderia executar algoritmos de rastreamento baseados em movimento como o proposto por (NAYAK; PUJARI, 2015), de forma mais eficiente e precisa.
Aplicações com Deep learning (LECUN; BENGIO; HINTON, 2015) (SCHMIDHUBER, 2015), também podem se beneficiar de execuções paralelas de múltiplas correlações, em cada camada. Um trabalho futuro interessante seria reutilizar os módulos da arquitetura que calculam
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