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A Study of Image Target Detection and Tracking for Robust Tracking in an Occluded Environment

표적의 부분가림이 존재하는 환경에서 견실한 추적을 위한 영상 표적 탐지, 추적 알고리듬 연구

  • 김용 (한양대학교 전자전기제어계측공학과) ;
  • 송택렬 (한양대학교 전자전기제어계측공학과)
  • Received : 2010.01.27
  • Accepted : 2010.07.19
  • Published : 2010.10.01

Abstract

In a target tracking system using image information from a CCD (Charged Couple Device) or an IIR (Imaging Infra-red) sensor, occluded targets can result in track losses. If the target is occlued by background objects such as buildings or trees, probability of track existence will be reduced sharply and track will be terminated due to track maintenance algorithms. This paper proposes data association algorithm based on target existence for the robust tracking performance. we suggest the HPDA (Highest Probability Data Association) algorithm based on target existence and the tracking performance is compared with the established method based on target perceivability. Image tracking simulation that utilizes virtual 3D images and real IR images is employed to evaluate the robustness of the proposed tracking algorithm.

Acknowledgement

Supported by : 국방과학연구소

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Cited by

  1. A Study of LM-IHPDA Algorithm for Multi-Target Tracking in Infrared Image Sequences vol.19, pp.3, 2013, https://doi.org/10.5302/J.ICROS.2013.12.1796