The use of cameras has gained popularity in the engineering world due to their ease of use and non-contact nature. The combined use of cameras and unmanned aerial vehicles (UAVs) allows performing complex acquisition in hard-to-reach locations. However, due to the motion of the UAV, measurements can be inaccurate. This study focuses on the mitigation of UAV-induced motion, with the aim of enhancing the measurement precision for structural dynamic assessment by proposing a combination of sensor-based and algorithm-based camera motion compensation approaches. The sensor-based approach relies on the use of a novel system integrating an Inertial Measurement Unit and two laser distance sensors to reduce the low-frequency components of the motion.