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题目：Robust Visual Tracking using L1 Minimization 翻译：基于L1范数最小化的鲁棒性视觉追踪 Author 作者：Xue Mei 凌海滨 本文要解决的问题：
Robust visual tracking using joint scale-spatial correlation filters
This paper presents an improved multiple instance learning (MIL) tracker representing target with Di
Active Contour-Based Visual Tracking by Integrating Colors, Shapes, and Motions
Online Visual Tracking by Huchuan Lu English | 2019 | ISBN: 9811304682 | 128 Pages | True PDF, EPUB
To improve the robustness of visual tracking in complex environments such as: cluttered backgrounds,
Visual tracking based on particle filter and weighted multiple instance learning
Based on the dispersive interaction between a high quality factor microcavity and nano-objects, whis
本论文来源于IEEE;主要描述CitySee这个项目所面临的挑战以及所采取的解决方案,志在在城市中建立一个WSN,以此来监测城市环境质量。并且,这个项目的最终目标是希望能够建立一个创新,普适且易于使用
ImageCompressionforWirelessSensorNetworks
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