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W4: Real-time surveillance of people and their activities

by Ismail Haritaoglu, David Harwood, Larry S. Davis - IEEE Transactions on Pattern Analysis and Machine Intelligence , 2000
"... w4 is a real time visual surveillance system for detecting and tracking multiple people and monitoring their activities in an outdoor environment. It operates on monocular gray-scale video imagery, or on video imagery from an infrared camera. W4 employs a combination of shape analysis and tracking t ..."
Abstract - Cited by 709 (9 self) - Add to MetaCart
w4 is a real time visual surveillance system for detecting and tracking multiple people and monitoring their activities in an outdoor environment. It operates on monocular gray-scale video imagery, or on video imagery from an infrared camera. W4 employs a combination of shape analysis and tracking

Real-Time Surveillance of People on an Embedded

by unknown authors
"... Abstract — This paper presents a set of techniques used in a real-time visual surveillance system. The system is implemented on a low-cost embedded DSP platform that is designed to work with stationary video sources. It consists of detection, a tracking and a classification module. The detector uses ..."
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Abstract — This paper presents a set of techniques used in a real-time visual surveillance system. The system is implemented on a low-cost embedded DSP platform that is designed to work with stationary video sources. It consists of detection, a tracking and a classification module. The detector

Adaptive Change Detection for Real-Time Surveillance Applications

by Stefan Huwer, Heinrich Niemann - in Proc. Visual Surveillance , 2000
"... This paper describes a new real-time approach for detecting changes in grey level image sequences, which were taken from stationary cameras. This new method combines a temporal difference method with an adaptive background model subtraction scheme. When changes in illumination occur, the background ..."
Abstract - Cited by 38 (0 self) - Add to MetaCart
This paper describes a new real-time approach for detecting changes in grey level image sequences, which were taken from stationary cameras. This new method combines a temporal difference method with an adaptive background model subtraction scheme. When changes in illumination occur, the background

Experiments in instrumenting wireless sensor networks for real-time surveillance

by Phoebus Chen, Songhwai Oh, Michael Manzo, Bruno Sinopoli, Cory Sharp, Kamin Whitehouse, Gilman Tolle, Jaein Jeong, Prabal Dutta, Jonathan Hui, Shawn Schaffert, Sukun Kim, Jay Taneja, Bonnie Zhu, Tanya Roosta, Michael Howard, David Culler, Shankar Sastry - in Proc. of the International Conference on Robotics and Automation (video , 2006
"... a large-scale, real-time, surveillance and control application on a wireless sensor network. The task was to track multiple human targets walking through a 5041 square meter sensor field and dispatch simulated pursuers to capture them. We employed a multi-target tracking algorithm that was a combina ..."
Abstract - Cited by 6 (4 self) - Add to MetaCart
a large-scale, real-time, surveillance and control application on a wireless sensor network. The task was to track multiple human targets walking through a 5041 square meter sensor field and dispatch simulated pursuers to capture them. We employed a multi-target tracking algorithm that was a

Unsupervised Abnormal Behavior Detection for Real-time Surveillance Using Observed History

by Tsz-ho Yu, Yiu-sang Moon
"... This paper presents a novel method of utilizing observed history for detecting abnormal behaviors in surveillance applications. An unsupervised algorithm is proposed to detect abnormal behaviors and re-train itself in real-time. Motion vectors of objects are estimated using the optical flow method. ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
This paper presents a novel method of utilizing observed history for detecting abnormal behaviors in surveillance applications. An unsupervised algorithm is proposed to detect abnormal behaviors and re-train itself in real-time. Motion vectors of objects are estimated using the optical flow method

Autonomous Real-time Surveillance System with Distributed IP Cameras

by Andrew Hunter, Jonathan Owens, Philip Aiken, Katrina Lewis
"... Abstract—An autonomous Internet Protocol (IP) camera based object tracking and behaviour identification system, capable of running in real-time on an embedded system with limited memory and processing power is presented in this paper. The main contribution of this work is the integration of processo ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
Abstract—An autonomous Internet Protocol (IP) camera based object tracking and behaviour identification system, capable of running in real-time on an embedded system with limited memory and processing power is presented in this paper. The main contribution of this work is the integration

Real-Time Surveillance System by Use of the Face Understanding Technologies

by Yi-tsung Chien, Yea-shuan Huag, Sheng-wen Jeng, Yao-hong Tasi, Xin Zhao
"... Abstract. This paper introduced a human surveillance system which integrated the face understanding technologies to recognize personal identities in real time. We proposed a coarse-to-fine strategy to find out faces quickly and accurately. The global features of faces are used to reduce the search a ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Abstract. This paper introduced a human surveillance system which integrated the face understanding technologies to recognize personal identities in real time. We proposed a coarse-to-fine strategy to find out faces quickly and accurately. The global features of faces are used to reduce the search

Eye-gaze based real-time surveillance video synopsis

by U. Vural, Y. S. Akgul, U. Vural A, Y. S. Akgul A - Pattern Recognit. Lett
"... This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. ..."
Abstract - Cited by 4 (1 self) - Add to MetaCart
This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. ACCEPTED MANUSCRIPT

Real-Time Surveillance System by Use of the Face Understanding Technologies

by Xin Zhao
"... Abstract. This paper introduced a human surveillance system which integrated the face understanding technologies to recognize personal identities in real time. We proposed a coarse-to-fine strategy to find out faces quickly and accurately. The global features of faces are used to reduce the search a ..."
Abstract - Add to MetaCart
Abstract. This paper introduced a human surveillance system which integrated the face understanding technologies to recognize personal identities in real time. We proposed a coarse-to-fine strategy to find out faces quickly and accurately. The global features of faces are used to reduce the search

Congestion Control to Reduce Latency in Sensor Networks for Real-Time Surveillance

by Phoebus Chen , 2006
"... Many of the current applications proposed for wireless ad-hoc sensor networks are targeted toward low data rate monitoring applications, where data is gathered from the network and analyzed in a batch offline. The next generation ..."
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Many of the current applications proposed for wireless ad-hoc sensor networks are targeted toward low data rate monitoring applications, where data is gathered from the network and analyzed in a batch offline. The next generation
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