badinage 发表于 2025-3-23 11:41:49
Appearance Learning for Infrared Tracking with Occlusion Handlingamework, where both adaptive Kalman filtering (AKF) and particle filtering are integrated together to learn target appearance and to estimate target kinematics in a sequential manner. We propose a dual foreground–background appearance model that incorporates the pixel statistics in both foreground a奖牌 发表于 2025-3-23 13:59:49
http://reply.papertrans.cn/63/6208/620791/620791_12.png进取心 发表于 2025-3-23 20:32:07
Pattern Recognition and Tracking in Forward Looking Infrared Imagerycular, we discuss several target detection and tracking algorithms for single/multiple target detection and tracking purposes. Each detection and tracking algorithm utilizes various properties of targets and image frames of a given sequence. At first we discuss a Fukunga–Kuntz Transform and template善变 发表于 2025-3-23 22:44:45
A Bayesian Method for Infrared Face Recognitionrelatively more attention in visible spectrum domain compared to the thermal infrared one. This was justified by both the higher cost of thermal sensors, the lack of widely available IR image databases and the quality of the produced images (lower resolution and higher image noise). Recently, therma流利圆滑 发表于 2025-3-24 06:21:45
http://reply.papertrans.cn/63/6208/620791/620791_15.pngguardianship 发表于 2025-3-24 09:24:46
http://reply.papertrans.cn/63/6208/620791/620791_16.pngCapture 发表于 2025-3-24 13:50:27
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http://reply.papertrans.cn/63/6208/620791/620791_18.png彻底明白 发表于 2025-3-24 20:46:08
Moving Object Detection and Tracking in Forward Looking Infra-Red Aerial Imageryese problems have gained significant importance over the years, especially with the advent of lightweight and reliable imaging devices. Detection and tracking of objects of interest has traditionally been an area of interest in the computer vision literature. These tasks are rendered especially chal制定法律 发表于 2025-3-24 23:52:22
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