International Conferences on Imaging for Crime Detection and Prevention最新文献_第10页

Object classification based on behaviour patterns 基于行为模式的对象分类

International Conferences on Imaging for Crime Detection and Prevention Pub Date : 1900-01-01 DOI: 10.1049/IC.2011.0112

Virginia Fernandez Arguedas, E. Izquierdo

引用次数: 6

Pedestrian walking direction from video 行人行走方向从视频

International Conferences on Imaging for Crime Detection and Prevention Pub Date : 1900-01-01 DOI: 10.1049/IC.2017.0045

S. Larabi, Amina Bensebaa

引用次数: 0

Hostile intent and behaviour detection in elevators 电梯中的敌对意图和行为检测

International Conferences on Imaging for Crime Detection and Prevention Pub Date : 1900-01-01 DOI: 10.1049/IC.2011.0115

Younghyun Lee, Taeyup Song, Hanj-Jun Kim, D. Han, Hanseok Ko

{"title":"Hostile intent and behaviour detection in elevators","authors":"Younghyun Lee, Taeyup Song, Hanj-Jun Kim, D. Han, Hanseok Ko","doi":"10.1049/IC.2011.0115","DOIUrl":"https://doi.org/10.1049/IC.2011.0115","url":null,"abstract":"We propose a visual surveillance based person-to-person hostile intent and behavior detection method in elevators. The view of an elevator by a surveillance camera is typically of a small confined space with abrupt changes in illumination due to opening and closing of the elevator door. We extract three levels of features in a sequential process for the violent event detection. First, as low-level features, foreground blobs are segmented from the background and their motion velocity vectors are extracted by an optical flow method. Second, as a mid-level feature, the number of people inside the elevator is estimated by considering the number and sizes of the segmented blobs. As the other mid-level features, the velocity magnitudes and directions are computed by image based motion analyses. A person-to-person violence can only occur when there is more than one person in the elevator. As the key classifying feature, we consider the average velocity magnitude and direction of each blob. A sequence of image frames are determined to contain a violent event if an average velocity magnitude of any segmented blob exceeds a threshold along with its associated direction not being dominant in one direction. The experimental results demonstrate that the proposed method functions effectively with a computational efficiency sufficient for real-time processing. (6 pages)","PeriodicalId":215265,"journal":{"name":"International Conferences on Imaging for Crime Detection and Prevention","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134501835","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: 10

The nose on your face may not be so plain: Using the nose as a biometric 你脸上的鼻子可能不那么简单:用鼻子作为生物特征

International Conferences on Imaging for Crime Detection and Prevention Pub Date : 1900-01-01 DOI: 10.1049/IC.2009.0231

Adrian Moorhouse, A. Evans, G. Atkinson, Jiuai Sun, Melvyn L. Smith

引用次数: 30

An efficient approach to enhance the performance of fingerprint recognition 一种提高指纹识别性能的有效方法

International Conferences on Imaging for Crime Detection and Prevention Pub Date : 1900-01-01 DOI: 10.1049/IC.2016.0072

F. Alimardani, N. M. Rad, R. Boostani

引用次数: 4

Identifying and addressing challenges for search and analysis of disparate surveillance video archives 识别和解决搜索和分析不同监控视频档案的挑战

International Conferences on Imaging for Crime Detection and Prevention Pub Date : 1900-01-01 DOI: 10.1049/IC.2013.0260

S. Little, K. Clawson, A. Mereu, Aitor Rodriguez

引用次数: 6

Detecting double compressed JPEG images 检测双重压缩的JPEG图像

International Conferences on Imaging for Crime Detection and Prevention Pub Date : 1900-01-01 DOI: 10.1049/IC.2009.0240

B. Mahdian, S. Saic

引用次数: 53

Vehicle logo recognition using Local Fisher Discriminant Analysis 基于局部Fisher判别分析的车辆标志识别

International Conferences on Imaging for Crime Detection and Prevention Pub Date : 1900-01-01 DOI: 10.1049/IC.2013.0265

Simi Wang, Sateesh Pedagadi, J. Orwell, G. Hunter

引用次数: 1

Automatic video annotation and event detection for video surveillance 用于视频监控的自动视频标注和事件检测

International Conferences on Imaging for Crime Detection and Prevention Pub Date : 1900-01-01 DOI: 10.1049/IC.2009.0270

A. Albiol, J. Silla, A. Albiol, J. M. Mossi, Laura Sanchis

{"title":"Automatic video annotation and event detection for video surveillance","authors":"A. Albiol, J. Silla, A. Albiol, J. M. Mossi, Laura Sanchis","doi":"10.1049/IC.2009.0270","DOIUrl":"https://doi.org/10.1049/IC.2009.0270","url":null,"abstract":"This paper describes a system that has been implemented with two main purposes in mind. First, detect predefined events in real-time based on the contents of continuous video sequences. Second, to help in the search of certain portions of recorded video. The key aspect of this paper is the separation between object extraction and event detection aspects and their bridging using a contents description standard (MPEG-7). We have divided the problem in three clearly distinct phases. First we extract the objects of interest along with a certain number of attributes (such as position, size, orientation, etc.) and create an annotation file using MPEG-7 standard; then we track this objects along the time. Initially we do what we call a raw tracking which consists in a simple pairing of objects in consecutive frames. Due to the difficulties in object extraction in real surveillance scenarios, the raw tracking data are usually quite noisy. These raw tracking data must be filtered in order to obtain some usable information. Finally, based on the clean tracking data, we may find events almost as they are happening. (5 pages)","PeriodicalId":215265,"journal":{"name":"International Conferences on Imaging for Crime Detection and Prevention","volume":"259 13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123498811","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: 3

Real-time pedestrian detecting and tracking in crowded and complicated scenario 拥挤复杂场景下的实时行人检测与跟踪

International Conferences on Imaging for Crime Detection and Prevention Pub Date : 1900-01-01 DOI: 10.1049/IC.2009.0267

Vahid Abrishami, A. Rezaee, Hojjat Baherzadeh, H. Abrishami

{"title":"Real-time pedestrian detecting and tracking in crowded and complicated scenario","authors":"Vahid Abrishami, A. Rezaee, Hojjat Baherzadeh, H. Abrishami","doi":"10.1049/IC.2009.0267","DOIUrl":"https://doi.org/10.1049/IC.2009.0267","url":null,"abstract":"Detecting and tracking people in real time in complicated and crowded scenes is a challenging problem. This paper presents a multi-cue methodology to detect and track pedestrians in real-time in the entrance gates using stationary CCD cameras. In the proposed method, the detection component includes finding local maximums in foreground mask of Gaussian mixture and Ω-shaped objects in the edge map by trained PCA. And the tracking engine employs a dynamic VCM with automated criteria based on the shape and size of detected human shaped entities. This new approach has several advantages. First, it uses a well-defined and robust feature space which includes polar and angular data. Furthermore due to its fast method to find human shaped objects in the scene, it's intrinsically suitable for real-time purposes. In addition, this approach verifies human formed objects based on PCA algorithm, which makes it robust in decreasing false positive cases. This novel approach has been implemented in a sacred place and the experimental results demonstrated the system's robustness under many difficult situations such as partial or full occlusions of pedestrians. (6 pages)","PeriodicalId":215265,"journal":{"name":"International Conferences on Imaging for Crime Detection and Prevention","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123617212","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: 6