Motion Retrieval Using Motion Strokes over Character Sketch
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2013 by IJETT Journal|
|Year of Publication : 2013|
|Authors : Mr. Raju G. Masand , Mr. A.N. Bhute|
Mr. Raju G. Masand , Mr. A.N. Bhute. "Motion Retrieval Using Motion Strokes over Character Sketch". International Journal of Engineering Trends and Technology (IJETT). V5(3):151-158 Nov 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
The growth in the motion capture data has increased the importance of motion retrieval Systems. The idea of motion capturing originated two decades ago, motion capture systems had been developed that allow to track and record human motions at high spatial and temporal resolutions. The resulting motion capture data is used to analyze human motions in fields such as sports sciences and biometrics (person identification), and to synthesize realistic motion sequences in data driven computer animation. There are various techniques for the creation of new, realistic motions from pre-recorded motion clips that have become an active field of research. Such techniques depend on motion capture databases covering a broad spectrum of motions in various characteristics. The 2D sketch figures can express a wide range of human motion, and they can be easily drawn by people without any professional training. The paper is implemented as the user will draw the motion strokes over a sketch like walk, jump, punch, kick, etc. The relevant motion clips based on the drawn motion will be retrieved from the database. This paper gives the description of the proposed system. In which there will be one interface through which the user will specify the query by drawing the sketch. Then proving the motion to it, based on the motion specified the relevant motion video clips will be fetched from the database. Database already contains the motion clips of some motion type. This approach actually employs motion pattern discovery and matching scheme that breaks human motion into parts or hierarchical motion representation. It actually divides the human body into parts and then try to find the motion in those parts.
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motion capture, indexing, retrieval, sketch recognition, motion Strokes, trajectory.