Directional motion history templates for low resolution motion recognition

Abstract

Human motion recognition in low-resolution video is very difficult task because due to low-resolution we miss much significant motion information. In this paper, we demonstrated appearance-based directional motion history image (DMHI) method to recognize various levels of video resolutions. The DMHI technique can overcome the self-occlusion problem that arises from motion overwriting. We found that it can significantly solve motion overwriting problem and can recognize complex actions or activities. We employed the same datasets with various levels of resolutions to test the DMHI and achieved satisfactory result up to a limit. When the resolution is very low, due to significant loss in motion information, we came across some difficulties to recognize the actions properly.