In the attached videos, we compared our DSTIP detector with two widely used spatio-temporal interest point (STIP) detectors on depth videos, i.e. Cuboid detector and Harris3D detector. The depth videos were taken from the MSRDailyActivity3D dataset. The resolution of the depth image is 240*320. The original frame rate of the depth video is 30f/sec, it is now reduced to 5f/sec to show the STIPs more clearly. The STIPs extracted from the three detectors are displayed using red rectangles proportional to the scale at which it was detected. 

As shown in the videos, the Cuboid detector suffered a lot from the background noise, and almost failed to capture the human movements. The Harris3D detector captured some points around the movements, but also gave many points around the noisy background. In contrast, our proposed DSTIP detector effectively captured the interest movements from the noisy videos, with almost no false detection. 