14th International Conference on Image Analysis and Processing (ICIAP 2007)最新文献_第4页

Reconstruction of a High Dynamic Range and High Resolution Image from a Multisampled Image Sequence 从多采样图像序列中重建高动态范围和高分辨率图像

14th International Conference on Image Analysis and Processing (ICIAP 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAP.2007.109

H. B. Haraldsson, Masayuki Tanaka, M. Okutomi

引用次数: 4

Verification of Handwritten Signatures: an Overview 手写签名的验证:概述

14th International Conference on Image Analysis and Processing (ICIAP 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAP.2007.131

S. Impedovo, G. Pirlo

引用次数: 55

Ball Position and Motion Reconstruction from Blur in a Single Perspective Image 球的位置和运动重建从模糊在单一视角图像

14th International Conference on Image Analysis and Processing (ICIAP 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAP.2007.36

G. Boracchi, V. Caglioti, A. Giusti

引用次数: 20

Human Appearance Change Detection 人体外观变化检测

14th International Conference on Image Analysis and Processing (ICIAP 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAP.2007.75

Nagia M. Ghanem, L. Davis

{"title":"Human Appearance Change Detection","authors":"Nagia M. Ghanem, L. Davis","doi":"10.1109/ICIAP.2007.75","DOIUrl":"https://doi.org/10.1109/ICIAP.2007.75","url":null,"abstract":"We present a machine learning approach to detect changes in human appearance between instances of the same person that may be taken with different cameras, but over short periods of time. For each video sequence of the person, we approximately align each frame in the sequence and then generate a set of features that captures the differences between the two sequences. The features are the occupancy difference map, the codeword frequency difference map (based on a vector quantization of the set of colors and frequencies) at each aligned pixel and the histogram intersection map. A boosting technique is then applied to learn the most discriminative set of features, and these features are then used to train a support vector machine classifier to recognize significant appearance changes. We apply our approach to the problem of left package detection. We train the classifiers on a laboratory database of videos in which people are seen with and without common articles that people carry - backpacks and suitcases. We test the approach on some real airport video sequences. Moving to the real world videos requires addressing additional problems, including the view selection problem and the frame selection problem.","PeriodicalId":118466,"journal":{"name":"14th International Conference on Image Analysis and Processing (ICIAP 2007)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115208997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

A High Performance Exact Histogram Specification Algorithm 一种高性能精确直方图规范算法

14th International Conference on Image Analysis and Processing (ICIAP 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAP.2007.8

A. Bevilacqua, Pietro Azzari

引用次数: 20

Cosegmentation for Image Sequences 图像序列的共分割

14th International Conference on Image Analysis and Processing (ICIAP 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAP.2007.48

D. Cheng, Mário A. T. Figueiredo

引用次数: 22

Automatic 3D facial segmentation and landmark detection 自动3D人脸分割和地标检测

14th International Conference on Image Analysis and Processing (ICIAP 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAP.2007.29

Maurício Pamplona Segundo, Chauã C. Queirolo, O. Bellon, Luciano Silva

引用次数: 83

A Statistical Method for People Counting in Crowded Environments 拥挤环境中人口计数的统计方法

14th International Conference on Image Analysis and Processing (ICIAP 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAP.2007.17

M. Bozzoli, L. Cinque, E. Sangineto

引用次数: 33

Fast convergence for spectral clustering 光谱聚类的快速收敛

14th International Conference on Image Analysis and Processing (ICIAP 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAP.2007.66

Marco Aiello, F. Andreozzi, E. Catanzariti, F. Isgrò, M. Santoro

{"title":"Fast convergence for spectral clustering","authors":"Marco Aiello, F. Andreozzi, E. Catanzariti, F. Isgrò, M. Santoro","doi":"10.1109/ICIAP.2007.66","DOIUrl":"https://doi.org/10.1109/ICIAP.2007.66","url":null,"abstract":"Over the last years computer vision researchers have shown great interest for the so called spectral clustering, where the data are clustered analysing the first few eigenvectors (i.e., the ones relative to the first eigenvalues) of a the Laplacian matrix, derived directly from the data-set. Note that for the purpose of data clustering the eigenvectors need not to be determined accurately. When clustering (segmenting) images the dimension of this matrix is large (e.g., an image as small as 100 times 100 results in a 10000 times 10000 matrix), and standard diagonalisation algorithms such Lanczos, necessary for determining the eigenvectors, do require a certain number of iterations: typically in the order of radicn step for n times n matrices, and may take some iterations for getting close to the solutions. Here we report the first attempt using a recent diagonalisation algorithm (named APL) borrowed from the nuclear physics literature, that, among other properties, has the main advantage of obtaining in a small number of iteration steps eigenvectors, that even if not accurate, are good enough for performing a reasonable segmentation. In this sense we talk of fast convergence of spectral clustering. The experimental results obtained support this claim, and open the way to further work exploiting further detail of the algorithm not included in this study.","PeriodicalId":118466,"journal":{"name":"14th International Conference on Image Analysis and Processing (ICIAP 2007)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130912635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Automatic Video-based Analysis of Athlete Action 基于视频的运动员动作自动分析

14th International Conference on Image Analysis and Processing (ICIAP 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAP.2007.35

Haojie Li, Shouxun Lin, Yongdong Zhang, Kun Tao

引用次数: 21