40,487 Hits in 7.0 sec

Detection of Objects in Motion—A Survey of Video Surveillance

Jamal Raiyn
2013 Advances in Internet of Things  
To overcome the lack of the conventional video surveillance system that is based on human perception, we introduce a novel cognitive video surveillance system (CVS) that is based on mobile agents.  ...  Video surveillance system is the most important issue in homeland security field. It is used as a security system because of its ability to track and to detect a particular person.  ...  In one case, conventional video surveillance systems have difficulty in tracking a great number of people located at different positions at the same time and tracking those people automatically.  ... 
doi:10.4236/ait.2013.34010 fatcat:i65g35c7tnhazdcjaulosm434m

Improving the Segmentation Stage of a Pedestrian Tracking Video-Based System by Means of Evolution Strategies [chapter]

O. Pérez, M. Á. Patricio, J. García, J. M. Molina
2006 Lecture Notes in Computer Science  
After the evaluation over a high number of video sequences, the results show that the shape of the tracks match up more accurately with the parts of interests.  ...  Pedestrian tracking video-based systems present particular problems such as the multi fragmentation or low level of compactness of the resultant blobs due to the human shape or movements.  ...  The result is a robust assessment based on a statistical analysis of a significant number of video sequences.  ... 
doi:10.1007/11732242_39 fatcat:6qm6feqyrjbphez46lldov22xy

Estimation of Human Traffic Flow Using Feature-based Regression in the Spatiotemporal Domain [chapter]

Gwang-Gook Lee, Whoi-Yul Kim
2011 Video Surveillance  
Because previous methods are based on the identification of objects, as the number of people in a scene is increased, the accuracy of previous methods decreases while the computation time increases.  ...  On the contrary, the statistical method have been verified using two video sequences of mild and heavy traffic.  ...  Estimation of Human Traffic Flow Using Feature-based Regression in the Spatiotemporal Domain, Video Surveillance, Prof.  ... 
doi:10.5772/15905 fatcat:gsd3xx7wnfccfo3pqlitvlj3cu

New Directions in Traffic Control Analysis through Video Surveillance

R. V. S. Lalitha, Divya Lalita Sri Jalligampala, Kayiram Kavitha, Shaik Vahida, Goli Rajasekhar, S. Tummala, S. Kosaraju, P. Bobba, S. Singh
2021 E3S Web of Conferences  
In this paper, traffic analysis is carried out based on streaming video data with YOLO tool.  ...  The key focus of this research is to do traffic analysis using video surveillance to detect speedy drivers.  ...  S.D Shankar, Akshat jain and S.Anusai Reddy in taking videos of traffic data and analyzing them during the progress of this research work.  ... 
doi:10.1051/e3sconf/202130901099 fatcat:5layfs6tszdbpp7gpvf6atxqzu

Multiple-shot People Re-identify based on Feature Selection with Sparsity

Dongping Zhang, Yanjie Li, Jiao Xu, Ye Shen
2015 International Journal of Hybrid Information Technology  
In a video surveillance network, it is always required to track and recognize people when they move through the environment.  ...  A Surveillance video is composed of a multi-frame image of each person. In order to achieve the purpose of re-identification, linear regression method is exploited to match each part of the body.  ...  Pedestrian Detection Pedestrian detection is an important branch in the field of object detection based on image/video data.  ... 
doi:10.14257/ijhit.2015.8.1.03 fatcat:ojngbftu7rdj3iddjskwbjlbh4


Alexei A. Morozov, Olga S. Sushkova, Alexander F. Polupanov
2017 Radioelectronics Nanosystems Information Technologies  
An approach to the 3D intelligent video surveillance based on the means of the objectoriented logic programming is proposed.  ...  The logic-based approach to the intelligent video surveillance allows easy definition of people complex behaviour in terms of simpler activities and postures.  ...  Tolmatcheva for the help in the preparation of 3D video samples and Angelos Barmpoutis for his J4K [59] library that was used for the data collection.  ... 
doi:10.17725/rensit.2017.09.205 fatcat:p4qzuh44abgnhdwgi4i6beug7a


Arun Hampapur, Yingli Tian, Lisa Brown, Jonathan Connell, Norman Haas, Max Lu, Hans Merkl, Sharat Pankanti, Andrew Senior, Chiao-Fe Shu
2004 Proceedings of the 2004 ACM SIGMM workshop on Effective telepresence - ETP '04  
data, perform event based retrieval, receive real time event alerts thru standard web infrastructure and extract long term statistical patterns of activity.  ...  The IBM smart surveillance system is one of the few advanced surveillance systems which provides not only the capability to automatically monitor a scene but also the capability to manage the surveillance  ...  • Web Based Surveillance Event Statistics: This set of functions provides the ability to compute a variety of statistics on the event data.  ... 
doi:10.1145/1026776.1026794 fatcat:hba2r5qmfjgjhfw7akqqxbiqty

Intelligent Fall Detection Using Statistical Features and Machine Learning

Hephzibah Thomas, Thyla B
2018 International Journal of Trend in Scientific Research and Development  
It has been noted by the World Health Organization (WHO) that approximately one out of 3 elderly people aged above 65 living alone tend to fall and the rate can increase in the coming years.  ...  This paper proposes a method where the video from the camera is processed and the features are extracted. The features are extracted using HOG and statistical approach.  ...  , Communication and Networking Technologies 5, 2017 Ashok Kusagur, "Vision based surveillance system for detection of human fall", 2nd IEEE International Conference on Recent International Journal of Trend  ... 
doi:10.31142/ijtsrd19024 fatcat:kmebfj67vvd5jjepquuh7fse34

Feature extraction techniques for abandoned object classification in video surveillance

Ahmed Fawzi Otoom, Hatice Gunes, Massimo Piccardi
2008 2008 15th IEEE International Conference on Image Processing  
We address the problem of abandoned object classification in video surveillance.  ...  Our experimental results show that the highest recognition accuracy and the lowest false alarm rate are achieved by building a classifier based on our proposed set of statistics of geometric primitives  ...  These approaches are based on SIFT keypoints and statistics of geometric primitives.  ... 
doi:10.1109/icip.2008.4712018 dblp:conf/icip/OtoomGP08 fatcat:xa2lus5aynfe3jy756yhbtfo5a

A Semantic Autonomous Video Surveillance System for Dense Camera Networks in Smart Cities

Lorena Calavia, Carlos Baladrón, Javier M. Aguiar, Belén Carro, Antonio Sánchez-Esguevillas
2012 Sensors  
The system is designed to minimize video processing and transmission, thus allowing a large number of cameras to be deployed on the system, and therefore making it suitable for its usage as an integrated  ...  This paper presents a proposal of an intelligent video surveillance system able to detect and identify abnormal and alarming situations by analyzing object movement.  ...  Acknowledgments This work has been partially funded by the Ministerio de Industria, Turismo y Comercio del Gobierno de España and the Fondo de Desarrollo Regional (FEDER) inside the European Eureka Celtic  ... 
doi:10.3390/s120810407 pmid:23112607 pmcid:PMC3472835 fatcat:d2hktg4m25emze6r3jec5cbg7m

Measuring pedestrian traffic using feature-based regression in the spatiotemporal domain

Gwang-Gook Lee, Whoi-Yul Kim
2012 International Journal of Control, Automation and Systems  
Because previous methods are based on the identification of objects, as the number of people in a scene is increased, the accuracy of previous methods decreases while the computation time increases.  ...  On the contrary, the statistical method have been verified using two video sequences of mild and heavy traffic.  ...  Estimation of Human Traffic Flow Using Feature-based Regression in the Spatiotemporal Domain, Video Surveillance, Prof.  ... 
doi:10.1007/s12555-012-0213-z fatcat:mzd3isrcq5fopgs63jsu4jvvge

Unsupervised Activity Analysis and Monitoring Algorithms for Effective Surveillance Systems [chapter]

Jean-Marc Odobez, Cyril Carincotte, Rémi Emonet, Erwan Jouneau, Sofia Zaidenberg, Bertrand Ravera, Francois Bremond, Andrea Grifoni
2012 Lecture Notes in Computer Science  
In this demonstration, we will show the different modules related to the automatic surveillance prototype developed in the context of the EU VANAHEIM project.  ...  Finally, an offline activity discovery tool based on long term recordings.  ...  Situational reporting Finally, a full set of methods that provide estimates of people locations and numbers according to the different camera settings: people flow counting in escalators; people density  ... 
doi:10.1007/978-3-642-33885-4_80 fatcat:277fzc6jf5hebkhi2gy7mhjo6e


2014 International Journal of Computer Science and Informatics  
Human activity recognition (HAR) research has been on the rise because of the rapid technological development of the image-capturing software and hardware.  ...  Visual investigation of human activities related to the detection, tracking and recognition of people, and, more generally, the perceptive of human activities, from image sequences.  ...  The goal of visual surveillance is to develop intelligent visual surveillance to replace the traditional passive video surveillance that is proving in effective as the numbers of cameras exceed the capability  ... 
doi:10.47893/ijcsi.2014.1147 fatcat:6x7eus2n2ran5dbonq5razblbi

Video analytics for retail

A.W. Senior, L. Brown, A. Hampapur, C.-F. Shu, Y. Zhai, R.S. Feris, Y.-L. Tian, S. Borger, C. Carlson
2007 2007 IEEE Conference on Advanced Video and Signal Based Surveillance  
We describe a set of tools for retail analytics based on a combination of video understanding and transaction-log.  ...  Results are presented on returns fraud and customer counting.  ...  Store operations encompasses a wide variety of activities, many of which can be aided by video analytics, from planning store layouts based on customer path statistics to staff planning based on historical  ... 
doi:10.1109/avss.2007.4425348 dblp:conf/avss/SeniorBHSZFTBC07 fatcat:5cckccj7o5hfficmyldzsg7vmu

Information Mining on Indoor Surveillance Video

Yu Ming, Liu Wei
2010 International Journal of Intelligent Engineering and Systems  
In recent years, the video-based passenger flow counting systems have been improved a lot with constant equipment update. However, these systems are mostly aimed at a particular scene.  ...  In crowded circumstances, the statistical precision is not very satisfactory. The analysis of abnormal situations is thus imperfect.  ...  In a spacious indoor place, accurate statistics on the number of passengers and accurate estimates of crowd density become the focus of attention.  ... 
doi:10.22266/ijies2010.0630.01 fatcat:yzj6ndyphzh3xl65l5nytva5ku
« Previous Showing results 1 — 15 out of 40,487 results