Title :
Probability Based Approach for Target Detection and Pose Estimation in Infrared Images
Author :
Liu, Weiguang ; Lai, Hailing
Author_Institution :
Sch. of Comput., Zhongyuan Univ. of Technol., Zhengzhou, China
Abstract :
This paper presents the challenging issue of target detecting and pose estimation in Forward Looking Infrared (FLIR) sequences. Target detecting and pose estimation are formulated as one process. Specifically, a new mixture of Gaussians model is proposed to detect target appearances. A probability based method is used to estimate the target position and size, where the detected appearance plays an important role. Our probability-based algorithm is compared against the existing methods and experiments on the FLIR dataset validate its effectiveness.
Keywords :
Gaussian processes; image sequences; infrared imaging; object detection; pose estimation; probability; FLIR dataset; Gaussians mixture model; forward looking infrared sequence; infrared image; pose estimation; probability based approach; target detection; target position estimation; Gaussians mixture model; particle filter (PF); pose estimation; target appearances; target detecting;
Conference_Titel :
Computational Intelligence and Security (CIS), 2010 International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-9114-8
Electronic_ISBN :
978-0-7695-4297-3
DOI :
10.1109/CIS.2010.132
