Paper Details: Downloads: 423
Serial Number: P1150535243
Title: Hierarchical Feature-based Paradigm for Multi-object Tracking
Authors: Ayoub K. Al-Hamadi and Bernd Michaelis
Abstract: In this paper we propose a new paradigm for solving the correspondence problem and then determination of a motion trajectory based on a trisectional structure. I.e., firstly it distinguishes between real world objects, sec-ondly extracts image features like Motion Blobs and colour-Patches and thirdly abstracts objects like Meta-Objects that shall denote real world objects. The effi-ciency of the suggested technique for determination of motion trajectory of moving objects will be demonstrated in this paper on the basis of analysis of strongly disturbed real image sequences.
Keywords: Tracking analysis, feature extraction
Journal/Conference: ICGST Conference on Graphics, Vision and Image Processing, GVIP-05
Volume:
Issue:
Submission Date: 9/1/2005 12:00:00 AM
Review Date: 10/1/2005 12:00:00 AM
Publishing Date: 12/19/2005 12:00:00 AM
Article Downloads: 423
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