Abstract: To enhance the accuracy and reliability of PTV/PIV techniques based on traditional frame-based cameras for particles with inter-frame displacements reaching tens of pixels, a high-precision PTV–PIV technique fusing event- and frame- based cameras was designed by introducing an event-based camera with dynamic vision mechanism, leveraging its advantages of high-response time-adaptive sampling of particles at varying velocities. An event-data enhanced PTV algorithm was developed, which can guide particle tracking in frame-based camera images using event-based data to achieve higher-precision particle velocity vectors. An event-data enhanced PTV–PIV fusion algorithm was developed, which can correct the flow field results from PIV measurements in frame-based camera images based on PTV velocity vectors, yielding velocity fields with lower divergence and higher accuracy. This technique was applied to experimental measurements of a free jet with a Reynolds number of 4400, featuring particle densities of 0.0057 and 0.0127 particles per pixel. Results indicate that when particles exhibit significant inter-frame displacement, the event-data enhanced PTV algorithm generates substantially more high-displacement velocity vectors (exceeding 10 pixels) than those oblained by frame-based camera PTV algorithm. Particle matching accuracy consistently exceeds 40%, with both the quantity and precision of velocity vectors far surpassing particle tracking results derived directly from frame camera. Compared to the PIV velocity field from event- and frame- based camera images, the PTV–PIV fusion algorithm produced a velocity field with fewer outlier velocity vectors and an average velocity divergence not exceeding 0.06 s⁻¹, demonstrating higher accuracy in flow field measurement. This high-precision PTV–PIV technique is suitable for analyzing flows with significant inter-frame particle displacements, enhancing the robustness and reliability of PIV. It provides an optimization direction for the high-precision dual-exposure PIV and holds great potential for advancing experimental fluid mechanics.