Human motion correction and representation method from motion camera. Issue 7 (28th July 2017)

• Record Type: Journal Article
• Authors: Zhang, Hong‐Bo; Guo, Feng; Zhang, Miaohui; Lin, Ying; Hsiao, Tsung‐Chih
• Is Part Of: Journal of engineering. Volume 2017:Issue 7(2017)
• Page Start: 370
• Page End: 375
• Publication Date: 2017-07-28
• Subjects: motion estimation -- intelligent robots; motion difference histogram -- motion feature descriptor -- optical flow -- motion descriptors -- intelligent robot -- motion objection detection -- human‐computer interaction -- computer vision -- motion estimation -- motion camera -- human motion representation -- human motion correction; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2017.0159
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : Motion estimation is a basic issue for many computer vision tasks, such as human–computer interaction, motion objection detection and intelligent robot. In many practical scenes, the object movement goes with camera motion. Generally, motion descriptors directly based on optical flow are inaccurate and have low discrimination power. To this end, a novel motion correction method is proposed and a novel motion feature descriptor called the motion difference histogram (MDH) for recognising human action is proposed in this study. Motion estimation results are corrected by background motion estimation and MDH encodes the motion difference between the background and the objects. Experimental results on video shot with camera motion show that the proposed motion correction method is effective and the recognition accuracy of MDH is better than that of the state‐of‐the‐art motion descriptor.