Synthesis of spatio-temporal interest point detectors: Harris 3D, MoSIFT and SURF-MHI

The purpose of this paper is to evaluate and compare different spatio-temporal interest points (STIP) detectors which are considered as extensions of the most common interest points (IP) detectors in 2D images to 3D space-time features: Harris 3D, Motion Scale Invariant Feature Transform (MoSIFT) and Speeded Up Robust Features Motion History Image (SURF-MHI). This paper uses the criteria of repeatability and time execution to evaluate the approaches. We proposed to find matching using the approximation method of nearest neighbors. We investigate the performance of these methods for illumination variation, scale variation, rotation and compression were applied over three dataset. All the experiments were implemented in Matlab computing environment.