Real-Time Video Processing for Multi-Object Chromatic Tracking | Zendy

Cristider Vasconcelos | Zendy; Asla Medeiros e Sá | Zendy; L.P. Teixeira | Zendy; P.C. Carvalho | Zendy; M. Gattass | Zendy

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Real-Time Video Processing for Multi-Object Chromatic Tracking

Author(s) -

Cristider Vasconcelos,

Asla Medeiros e Sá,

L.P. Teixeira,

P.C. Carvalho,

M. Gattass

Publication year - 2008

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5244/c.22.12

Subject(s) - computer vision , video tracking , artificial intelligence , computer science , object (grammar) , chromatic scale , pixel , reduction (mathematics) , centroid , minimum bounding box , operator (biology) , object detection , tracking (education) , image processing , image (mathematics) , pattern recognition (psychology) , mathematics , psychology , pedagogy , combinatorics , biochemistry , chemistry , geometry , repressor , transcription factor , gene

This paper presents MOCT, a multi-object chromatic tracking technique for real-time natural video processing. Its main step is the MOCT localization algorithm, that performs local data evaluations in order to apply a multiple output parallel reduction operator to the image. The reduction operator is used to localize the positions of the object centroids, to compute the number of pixels occupied by an object and its bounding boxes, and to update object trajectories in image space. The operator is analyzed using three different computation layouts and tested over several reduction factors.

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