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Paper about Event Detection. #@author: gr #@date: 2014-03-15 #@email: forgerui@gmail.com 看一些相关的论文. 1. <Efficient Visual Event Detection using Volumetric Features> ICCV 2005 扩展2D box 特征到3D时空特征. 构建一个实时的检测器基于容积特征. 采用传统的兴趣点方法检测事件. 2. <ARMA-HMM: A New…
A Discriminative CNN Video Representation for Event Detection Note here: it's a learning note on the topic of video representation, based on the paper below. Link: http://arxiv.org/pdf/1411.4006v1.pdf Motivation: The use of improved Dense Trajectorie…
论文作者:Kuan-Ting Lai, Felix X. Yu, Ming-Syan Chen and Shih-Fu Chang. #@author: gr #@date: 2014-01-25 #@email: forgerui@gmail.com 一. 论文主要工作 1.1 传统方法 传统方法将整个视频表示为一个向量.这种方法简单高效. 一般可以分为如下三个步骤: 特征提取(extract features) 量化(quantized) 池化(pooling),生成一个全局向量 存在的问题…
2. method 把每一帧变成不同尺度,并且把每一层分成互不覆盖的patch.连续的5帧堆叠在一起形成时空立方体.对时空立方体计算3D梯度特征[11].这些视屏序列中的特征,根据空间位置的相关性,进行处理.只有在相同空间位置的特征会被一起使用来训练和测试. 2.1. Learning Combinations on Training Data 所有的帧中的3D梯度特征表示为X = {x1,..., xn}. 我们的目标是发现一个sparse basis combination set S =…
Paper reading. #@author: gr #@date: 2014-03-11 #@email: forgerui@gmail.com Early Detection Abstract: Structured Output SVM Processing Sequential Data Detecing Facial Expressions, Hand Gestures, Human Acctivities 1. Introduction 1.1. potential applica…
CVPR2017 paper list Machine Learning 1 Spotlight 1-1A Exclusivity-Consistency Regularized Multi-View Subspace Clustering Xiaojie Guo, Xiaobo Wang, Zhen Lei, Changqing Zhang, Stan Z. Li Borrowing Treasures From the Wealthy: Deep Transfer Learning Thro…
搜集整理了2004~2015性能最好的人脸检测的部分资料,欢迎交流和补充相关资料. 1:人脸检测性能 1.1 人脸检测测评 目前有两个比较大的人脸测评网站: 1:Face Detection Data Set and Benchmark(FDDB) 网址:http://vis-www.cs.umass.edu/fddb/results.html FDDB是由马萨诸塞大学计算机系维护的一套公开数据库,为来自全世界的研究者提供一个标准的人脸检测评测平台,其中涵盖在自然环境下的各种姿态的人脸:该校还维…
Event StoryLine Corpus 论文阅读 本文是对 Caselli T, Vossen P. The event storyline corpus: A new benchmark for causal and temporal relation extraction[C]//Proceedings of the Events and Stories in the News Workshop. 2017: 77-86. 阅读的总结.有任何问题请邮件联系 arrogant262@gm…
持续更新ing~ all *.files come from the author:http://www.cnblogs.com/findumars/p/5009003.html 1 牛人Homepages(随意排序,不分先后): 1.USC Computer Vision Group:南加大,多目标跟踪/检测等: 2.ETHZ Computer Vision Laboratory:苏黎世联邦理工学院,欧洲最好的几个CV/ML研究机构: 3.Helmut Grabner:Online Boost…
copy from:http://blog.csdn.net/zouxy09/article/details/8550952 一.特征提取Feature Extraction: ·         SIFT [1] [Demo program][SIFT Library] [VLFeat] ·         PCA-SIFT [2] [Project] ·         Affine-SIFT [3] [Project] ·         SURF [4] [OpenSURF] [Matl…