Tracking Marker Movement for Simplicity of Picture Handling
Balaji. S1, M. Sowmiya Manoj2, G. Kanagavalli3
1Balaji S, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
2M.Sowmiya Manoj, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
3G.Kanagavalli, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
Manuscript received on 14 September 2019 | Revised Manuscript received on 23 September 2019 | Manuscript Published on 10 October 2019 | PP: 710-714 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F12610886S219/19©BEIESP | DOI: 10.35940/ijeat.F1261.0886S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: High speed machines and mechanisms are often studied from a sequence of images obtained from high speed videography. The use of markers printed or attached on moving parts can greatly assist in tracking the moving parts. We present the design of a marker suitable for planar motion analysis of mechanism. The marker is designed to make the task of image processing computationally less intensive so as to make real time motion analysis practical. Rosenfeld equivalence table algorithm is used to segment the input image. The new geometry of marker facilitates automatic tracking and provides both position and orientation information. Hu invariant moments are used for recognition of the marker shape in the segmented image. Markers are uniquely identified on the basis of a text code that is placed in a designated location with respect to the marker geometry. In this method, the bounding box for the text code is computed. Knowing the orientation of the marker and therefore the text orientation, it is possible to transform the sub- image, containing the text, so that the text is aligned horizontally. This will permit a standard OCR routine to read the text code. The motion of various moving parts in image sequence can be easily inferred once the position and orientation of each of the marker is known.
Keywords: Image Processing, Asymmetric Marker, Video-Graphic Motion Tracking, Planar Mechanism, Occlusion, Position and Orientation Determination.
Scope of the Article: Image Processing and Pattern Recognition