There is provided an object tracking apparatus that realizes robust object detection and tracking even for movement fluctuation and observation noise, an object tracking method and a computer program. An object cracking apparatus 1 is an apparatus tracking an object in video, the object tracking apparatus 1 including: a deep learning discriminator 2 which is a discriminator by deep learning; and a particle filter function unit 3 tracking an object by applying a multi-channel feature value of video including feature values by the deep learning discriminator 2 to likelihood evaluation by a particle filter, according to a distance between position information about the multi-channel feature value and position information about each particle.