Neuromorphic vision is one of the novel research fields that studies neuromorphic cameras and spiking neural networks (SNNs) for computer vision. Instead of computing on frame-based images, spike events are streamed from neuromorphic cameras, and novel object detection algorithms have to deal with spike events to achieve detection tasks. In this paper, we propose a solution of the novel object detection method with spike events. Spike events are first decoded to event images according to the computational methodology of neuromorphic theory.