Human motion correction and representation method from motion camera

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...

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Bibliographic Details
Published inJournal of engineering (Stevenage, England) Vol. 2017; no. 7; pp. 370 - 375
Main Authors Zhang, Hong‐Bo, Guo, Feng, Zhang, Miaohui, Lin, Ying, Hsiao, Tsung‐Chih
Format Journal Article
LanguageEnglish
Published The Institution of Engineering and Technology 01.07.2017
Wiley
Subjects
computer vision
human motion correction
human motion representation
human-computer interaction
intelligent robot
intelligent robots
motion camera
motion descriptors
motion difference histogram
motion estimation
motion feature descriptor
motion objection detection
optical flow
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Summary: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.
ISSN:2051-3305
2051-3305
DOI:10.1049/joe.2017.0159