Open AccessTracking Marker Movement for Simplicity of Picture Handling
Author(s) -
S. Balaji,
M. Sowmiya Manoj,
G. Kanagavalli
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1261.0886s219
Subject(s) - orientation (vector space) , computer vision , artificial intelligence , computer science , tracking (education) , minimum bounding box , image processing , invariant (physics) , position (finance) , motion analysis , match moving , image (mathematics) , motion (physics) , geometry , mathematics , psychology , pedagogy , finance , economics , mathematical physics
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