Báo cáo hóa học: " Research Article A Combined PMHT and IMM Approach to Multiple-Point Target Tracking in Infrared Image Sequence"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Combined PMHT and IMM Approach to Multiple-Point Target Tracking in Infrared Image Sequence | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2007 Article ID 19139 14 pages doi 2007 19139 Research Article A Combined PMHT and IMM Approach to Multiple-Point Target Tracking in Infrared Image Sequence Mukesh A. Zaveri 1 S. N. Merchant 2 and Uday B. Desai2 1 Computer Engineering Department Sardar Vallabhbhai National Institute of Technology Surat 395007 India 2 SPANN Laboratory Electrical Engineering Department Indian Institute ofTechnology-Bombay Powai Mumbai 400076 India Received 18 August 2006 Revised 28 April 2007 Accepted 30 July 2007 Recommended by Ferran Marques Data association and model selection are important factors for tracking multiple targets in a dense clutter environment. In this paper we provide an effective solution to the tracking of multiple single-pixel maneuvering targets in a sequence of infrared images by developing an algorithm that combines a sequential probabilistic multiple hypothesis tracking PMHT and interacting multiple model IMM . We explicitly model maneuver as a change in the target s motion model and demonstrate its effectiveness in our tracking application discussed in this paper. We show that inclusion of IMM enables tracking of any arbitrary trajectory in a sequence of infrared images without any a priori special information about the target dynamics. IMM allows us to incorporate different dynamic models for the targets and PMHT helps to avoid the uncertainty about the observation origin. It operates in an iterative mode using expectation-maximization EM algorithm. The proposed algorithm uses observation association as missing data. Copyright 2007 Mukesh A. Zaveri et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Tracking of multiple moving targets in the presence of clutter has significance in .

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