Add to ORKGA number of algorithms have been recently proposed for automatic intruder detection from CCTV images. Past researchers have tested these algorithms on centralized networks where all images are transmitted to a central control room. This paper demonstrates the applicability of a selection of such algorithms to a distributed network of wireless visual sensors. An empirical comparative study of the most popular of such algorithms on a simulation of a wireless sensor network is presented. In addition, this paper provides further evidence in support of the most effective of such algorithms to the problem of anomaly detection in image streams
We propose a new algorithm based on machine learning techniques for automatic intruder detection in ...
This work proposes surveillance trajectories for a network of autonomous cameras to detect in-truder...
Abstract. The usefulness of networks of surveillance cameras is primarily limited by the demand plac...
Abstract. A number of algorithms have been recently proposed for au-tomatic intruder detection from ...
number of algorithms have been recently proposed for automatic intruder detection from CCTV images. ...
Many types of automated visual surveillance systems have been presented in the recent literature. Mo...
This book chapter was published in the IGI Global [© 2017 IGI Global] and the definite version is av...
Video security is becoming more and more important today. CCTV (closed circuit television), after br...
We propose a new algorithm based on machine learning techniques for automatic intruder detection in ...
This paper presents an architecture for sensor based, distributed, automated scene surveillance. The...
Nowadays video-surveillance systems are essential tools to monitor sites and to guarantee the safety...
Abstract. The usefulness of networks of surveillance cameras is primarily limited by the demand plac...
Abstract Visual signal detection and data transmitting are key issues in the fields of security moni...
We propose a new algorithm based on machine learning techniques for automatic intruder detection in ...
Extensive network of multimodal surveillance and security sensors prevalent in many places. Task ...
We propose a new algorithm based on machine learning techniques for automatic intruder detection in ...
This work proposes surveillance trajectories for a network of autonomous cameras to detect in-truder...
Abstract. The usefulness of networks of surveillance cameras is primarily limited by the demand plac...
Abstract. A number of algorithms have been recently proposed for au-tomatic intruder detection from ...
number of algorithms have been recently proposed for automatic intruder detection from CCTV images. ...
Many types of automated visual surveillance systems have been presented in the recent literature. Mo...
This book chapter was published in the IGI Global [© 2017 IGI Global] and the definite version is av...
Video security is becoming more and more important today. CCTV (closed circuit television), after br...
We propose a new algorithm based on machine learning techniques for automatic intruder detection in ...
This paper presents an architecture for sensor based, distributed, automated scene surveillance. The...
Nowadays video-surveillance systems are essential tools to monitor sites and to guarantee the safety...
Abstract. The usefulness of networks of surveillance cameras is primarily limited by the demand plac...
Abstract Visual signal detection and data transmitting are key issues in the fields of security moni...
We propose a new algorithm based on machine learning techniques for automatic intruder detection in ...
Extensive network of multimodal surveillance and security sensors prevalent in many places. Task ...
We propose a new algorithm based on machine learning techniques for automatic intruder detection in ...
This work proposes surveillance trajectories for a network of autonomous cameras to detect in-truder...
Abstract. The usefulness of networks of surveillance cameras is primarily limited by the demand plac...